Publikacje pracowników - Informatyka

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Publikacje pracowników Wydziału Informatyki
stanowiących minimum kadrowe kierunku „Informatyka”
2009 - 2014

  1. Aliev R., Pedrycz W., Huseynov O., Zeinalova L.: Decision making with second order information granules. In: W. Pedrycz, S.-M. Chen (Eds.): Granular Computing and Intelligent Systems. Springer-Verlag, Berlin Heidelberg 2011, ss. 117-153.
  2. Aliev R., Pedrycz W.: Fundamentals of a fuzzy-logic-based generalized theory of stability. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 39, No. 4, 2009, ss. 971-988, 63 poz. bibl.
  3. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): Developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume I: Foundations. SRI PAS /IBS PAN, Warszawa 2010, 223 s.
  4. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations. Systems Research Institute Polish Academy of Sciences, Warszawa 2012, 350 s.
  5. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol. I: foundations. Instytut Badań Systemowych PAN, Warszawa 2013, 171 s.
  6. Atanassov K., Baczyński M., Drewniak J., Kacprzyk J., Krawczak M., Szmidt E., Wygralak M., Zadrożny S. (Eds.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume I: Foundations. Instytut Badan Systemowych PAN, Warszawa 2011, 224 s.
  7. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Developments in fuzzy sets, intuitionistic fuzzy sets,generalized nets and related topics, Vol. II: Applications. SRI PAS /IBS PAN, Warszawa 2010, 322 s.
  8. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New developments in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol II: Applications. Systems Research Institute, Polish Academy of Sciences, Warszawa 2012, 320 s.
  9. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New trends in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Vol. II: applications. Instytut Badań Systemowych PAN, Warszawa 2013, 200 s.
  10. Atanassov K., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Vol II: Applications. Systems Research Institute, Polish Academy of Sciences, Warszawa 2011, 245 s.
  11. Atanassov K., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in fuzzy sets, intuitionistic fuzzy sets, Generalized nets and related topics. Volume I: Foundations. EXIT, Warszawa 2008 [druk w 2009 roku], 262 s. Seria: Challenging problems of science: computer science.
  12. Atanassov K., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in fuzzy sets, intuitionistic fuzzy sets, generalized nets and related topics. Volume II: applications. EXIT, Warszawa 2008 [druk w 2009 roku], 229 s. Seria: Challenging Problems of Science: Computer Science.
  13. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets, Volume 9. Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warszawa 2011, 128 s.
  14. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets. Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warszawa 2010, 137 s.
  15. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in intuitionistic fuzzy sets and generalized nets. Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warszawa 2013, 200 s.
  16. Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Red.): Issues in intuitionistic fuzzy sets and generalized nets. Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warszawa 2008 [druk w 2009 roku], 175 s.
  17. Atanassov K., Szmidt E., Kacprzyk J., Rangasamy P.: On intuitionistic fuzzy multi-dimensional sets. Part 2. In: Atanassov, K., T., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrożny, S. (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. Academic Publishing House EXIT, Warsaw 2008 [druk w 2009 roku], ss. 43-51, 5 poz. bibl. Seria: Challenging Problems of Science - Computer Science.
  18. Atanassov K., Szmidt E., Kacprzyk J.: On intuitionistic fuzzy multi-dimensional sets. In: K. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt (Eds.): Issues in intuitionistic fuzzy sets and generalized nets. Vol. 7. WSISiZ, Warszawa 2008 [druk w 2009 roku], ss. 1-6, 3 poz. bibl.
  19. Atanassov K., Szmidt E., Kacprzyk J.: On Intuitionistic Fuzzy Multi-Dimensional Sets. Part 3. In: Atanasov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Developments in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. SRI PAS, Warszawa 2010, ss. 19-25, 6 poz. bibl.
  20. Atanassov K., Szmidt E., Kacprzyk J.: On intuitionistic fuzzy multi-dimensional sets. Part 4. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 17, No. 2, 2011, ss. 1-7, 7 poz. bibl.
  21. Atanassov K., Szmidt E., Kacprzyk J.: On intuitionistic fuzzy pairs. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 19, No. 3, 2013, ss. 1-13, 10 poz. bibl.
  22. Atanassov K., Szmidt E., Kacprzyk J.: On Some Ways of Determining Membership and Non-membership Functions Characterizing Intuitionistic Fuzzy Sets. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 16, No. 4, 2010, ss. 27-31, 9 poz. bibl.
  23. Baczko T., Kacprzyk J., Zadrożny S.: Towards Knowledge Driven Individual Integrated Indicators of Innovativeness. In: J. Jozefczyk and D. Orski (Eds.): Knowledge-based Intelligent System Advancements: Systemic and Cybernetic Approaches. IGI, Hershey 2010 [druk w 2011 roku], ss. 129-140.
  24. Ban A., Kacprzyk J., Atanassov K.: On de-I-Fuzzification of Intuitionistic Fuzzy Sets. COMPTES RENDUS MATHEMATIQUE, vol. 61, No. 12, 2008 [druk w 2009 roku], ss. 1535-1540, 7 poz. bibl.
  25. Bandyopadhyay S., Saha S., Pedrycz W.: Use of a fuzzy granulation-degranulation criterion for assessing cluster validity. FUZZY SETS AND SYSTEMS, vol. 170, 2011, ss. 22-42.
  26. Bargieła A., Pedrycz W.: Supervised and Unsupervised Information Granulation: A Study in Hyperbox Design. In: J.-T.Yao (Ed.): Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation. IGI Global, Hershey PA 2010, ss. 48-68, 25 poz. bibl.
  27. Bereta M., Karczmarek P., Pedrycz W., Reformat M.: Local descriptors in application to the aging problem in face recognition. PATTERN RECOGNITION , vol. 46, No. 46, 2013, ss. 2634-2646, 47 poz. bibl.
  28. Bigaj P., Kacprzyk J.: A memetic algorithm based procedure for a global path planning of a movement constrained mobile robot. In: Proceedings of the conference: 2013 IEEE Congress on Evolutionary Computation (CEC), Cancun, Mexico, June 20-23, 2013, IEEE, ss. 135-141.
  29. Blanchini F., Casagrande D., Krajewski W., Miani S., Viaro U.: Stable pointwise-optimal LPV control of induction motor. In: Advanced Manufacturing Systems and Technology, Mali Lošinj, Croatia, 16-17 June 2011, ss. 261-269.
  30. Blanchini F., Krajewski W., Miani S., Viaro U.: A sliding mode strategy to control TCP flows. In: Proceedings of the conference: 14th International IEEE/IFAC Conference on Methods and Models in Automation and Robotics, MMAR'09, Międzyzdroje, 19 - 21 August, ss. 1-5 (CD).
  31. Bosc P., De Tre G., Dujmovic J., Hadjali A., Pivert O., Ribeiro R., Zadrożny S. (Eds.): On advances in soft computing applied to databases and information systems. Special issue of 'Fuzzy Sets and Systems'. Elsevier Science Publishers, 2012, 124 s.
  32. Boychuk P., Boychuk K., Nahorski Z., Horabik J.: Spatial inventory of greenhouse gas emissions from the road transport in Poland. ECONTECHMOD. AN INTERNATIONAL QUARTERLY JOURNAL ON ECONOMICS OF TECHNOLOGY AND MODELLING PROCESSES, vol. 1, No. 4, 2012, ss. 9-16, 28 poz. bibl.
  33. Breve F., Zhang L., Quiles M., Pedrycz W., Liu J.: Particle competition and cooperation in networks for semi-supervised learning. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 24, No. 9, 2012, ss. 1686-1698, 55 poz. bibl.
  34. Bruggemann R., Fattore M., Owsiński J.: Using poset theory to compare fuzzy multidimensional material deprivation across regions. In: New Perspectives in Statistical Modeling and Data Analysis, Catania, Italy, 9-11 September 2009, Springer Verlag, ss. 49-56.
  35. Castillo O., Melin P., Kacprzyk J. (Eds.): Recent advances on hybrid intelligent systems. Springer-Verlag, Berlin, Heidelberg 2013, 570 s.
  36. Castillo O., Melin P., Pedrycz W.: Design of interval type-2 fuzzy models through optimal granularity allocation. APPLIED SOFT COMPUTING, vol. 11, No. 8, 2011, ss. 5590-5601.
  37. Castillo O., Pedrycz W., Kacprzyk J. (Eds.): Evolutionary design of intelligent systems in modeling, simulation and control. Springer-Verlag, Heidelberg and New York 2010, 334 s., 200 poz. bibl. Seria: Studies in Computational Intelligence.
  38. Castillo O., Pedrycz W., Kacprzyk J. (Eds.): Soft Computing for Intelligent Control and Mobile Robotics. Springer-Verlag, Heidelberg 2011, 484 s., 300 poz. bibl. Seria: Studies in Computational Intelligence.
  39. Charkovska N., Bun R., Nahorski Z., Horabik J.: Mathematical modeling and spatial analysis of emission processes in Polish industry sector: cement, lime and glass production. ECONTECHMOD. AN INTERNATIONAL QUARTERLY JOURNAL ON ECONOMICS OF TECHNOLOGY AND MODELLING PROCESSES, vol. 1, No. 4, 2012, ss. 17-22, 20 poz. bibl.
  40. Choi J., Oh S., Pedrycz W.: Identification of fuzzy relation models using hierarchical fair competition-based parallel genetic algorithms and information granulation. APPLIED MATHEMATICAL MODELLING, vol. 33, No. 6, 2009, ss. 2791-2807.
  41. Christiansen H., De Tre G., Yazici A., Zadrożny S., Andreasen T., Larsen H. (Eds.): Flexible Query Answering Systems. Springer-Verlag, 2011, 510 s. Seria: Lecture Notes in Computer Science.
  42. Cimino M., Pedrycz W., Lazzerini B., Marcelloni F.: Using multilayer perceptrons as receptive fields in design of neural networks. NEUROCOMPUTING, vol. 72, No. 10-12, 2009, ss. 2536-2548, 47 poz. bibl.
  43. Czarnowski I., Jędrzejowicz P., Kacprzyk J. (Eds.): Agent-based optimization. Springer-Verlag, Berlin 2013, 220 s., 150 poz. bibl. Seria: Studies in Computational Intelligence.
  44. De Tre G., Kacprzyk J., Yazici A., Zadrożny S. (Eds.): Advances in fuzzy querying: Theory and applications. Special Issue of 'International Journal of Intelligent Systems'. Wiley-Interscience publication, 2011, 152 s.
  45. De Tre G., Zadrożny S. (Eds.): Fuzzy logic and soft computing in processing of imperfect information. Special issue of 'Control and Cybernetics'. CONTROL AND CYBERNETICS, Warszawa 2009, 224 s.
  46. De Tre G., Zadrożny S. (Eds.): The application of fuzzy logic and soft computing in information management. Special issue of 'Fuzzy Sets and Systems'. Elsevier Science Publishers, 2009, 155 s.
  47. De Tre G., Zadrożny S., Bronselaer A.: Handling Bipolarity in Elementary Queries to Possibilistic Databases. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 18, No. 3, 2010, ss. 599-612.
  48. De Tre G., Zadrożny S., Matthe T., Kacprzyk J., Bronselaer A.: Dealing with Positive and Negative Query Criteria in Fuzzy Database Querying. LECTURE NOTES IN COMPUTER SCIENCE, No. 5822, 2009, ss. 593-604.
  49. Dziedzic M., Kacprzyk J., Zadrożny S.: Bipolar linguistic summaries: a novel fuzzy querying driven approach. In: Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting, Edmonton, Canada, Jule 24-28 2013, ss. 1285-1290.
  50. Dziedzic M., Kacprzyk J., Zadrożny S.: On some quality criteria of bipolar linguistic summaries. In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Kraków, 8 - 11 September, 2013, Polskie Towarzystwo Informatyczne, ss. 643-646.
  51. Dziedzic M., Zadrożny S., Kacprzyk J.: Towards bipolar linguistic summaries: a novel fuzzy bipolar querying based approach. In: Proceedings of the conference: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, IEEE, ss. 1-8.
  52. Felipe J., Kacprzyk J. (Eds.): ICEC-2010 Proceedings of the International Conference on Evolutionary Computation (Part of the International Joint Conference on Computational Intelligence IIJCCI 2010). SciTePress, Setubal 2010, 500 s. Seria: Conference Proceedings INSTICC.
  53. Fiksak B., Krawczak M.: Incidental Neural Networks as Nomograms Generators. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. I, No. 7267, 2012, ss. 63-71, 20 poz. bibl.
  54. Fodor J., Kacprzyk J. (Eds.): Aspects of soft computing, intelligent robotics and control. Springer-Verlag, Heidelberg 2009, 270 s., 299 poz. bibl. Seria: Studies in Computational Intelligence.
  55. Gadomski J., Nahorski Z.: Growth, emission limit and technological change in the three-sector growth model. In: A. Welfe (Ed.): Modelling Economies in Transition. AMFET, Łódż 2010, ss. 59-84, 23 poz. bibl.
  56. Gadomski J., Nahorski Z.: Impact of the emission limiting policy on technological conversion and macroeconomic structure. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, vol. 34, No. 1, 2010, ss. 59-72, 20 poz. bibl.
  57. Gadomski J., Nahorski Z.: Optimum Emission of GHG and Economic growth. Regularized Results. In: Welfe A. (Ed.): MACROMODELS' 2010. Modelling economies in transition. Macromodels International Confetrence, Łódż 2011, ss. 83-102, 7 poz. bibl.
  58. Gadomski J., Owsiński J.: Model rolnictwa polskiego MODROL do analizy skutków polityki rolnej dla dochodowości gospodarstw rolnych. Koncepcja calosci oraz modele wybranych rynków. (nr 137). Instytut Ekonomiki Rolnictwa i Gospodarki Żywnościowej. Państwowy Instytut Badawczy, Warszawa 2009, 98 s., 21 poz. bibl.
  59. Gluhchev G., Atanassov K., Hadjitodorov S., Szmidt E.: A generalized net model for signature verification. In: Proceedings of the 10th International Workshop, Sofia, Bulgaria, 5 December 2009, Sofia, Bulgaria, ss. 27-30.
  60. Greco S., Marques Pereira R., Squillante M., Yager R., Kacprzyk J. (Eds.): Preferences and decisions. Models and applications. Springer-Verlag, Heidelberg and New York 2010, 430 s., 400 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  61. Gromisz M., Zadrożny S.: Combining the Results in Pairwise Classification Using Dempster-Shafer Theory: A Comparison of Two Approaches. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6113, 2010, ss. 339-346.
  62. Ha M., Pedrycz W., Chen J., Zheng L.: Some theoretical results of learning theory based on random sets in set-valued probability space. KYBERNETES, vol. 38, No. 3/4, 2009, ss. 635-657, 24 poz. bibl.
  63. Ha M., Pedrycz W., Zheng L.: The theoretical fundamentals of learning theory based on fuzzy complex random samples. FUZZY SETS AND SYSTEMS, vol. 160, 2009, ss. 2429-2441, 36 poz. bibl.
  64. Ha M., Zhang A., Pedrycz W., Fan Y.: A development of inclusion-degree-based rough fuzzy random sets. FUNDAMENTA INFORMATICAE, vol. 86, No. 4, 2008 [druk w 2009 roku], ss. 481-502, 44 poz. bibl.
  65. Ha M., Zhang H., Pedrycz W., Xing H.: The expected value models on Sugeno measure space. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 50, No. 7, 2009, ss. 1022-1035, 35 poz. bibl.
  66. Han S., Park S., Pedrycz W.: Conditional fuzzy clustering for blind channel equalization. APPLIED SOFT COMPUTING, vol. 11, 2011, ss. 2777-2786.
  67. Herrera-Viedma E., De Tre G., Zadrożny S., Olivas J. (Eds.): Soft approaches to information access on the Web. Special Issue of 'Information processing & management' 48(3). Elsevier Science Publishers, 2012, 212 s.
  68. Herrera-Viedma E., Garcia-Lapresta J., Kacprzyk J., Fedrizzi M., Nurmi H., Zadrożny S. (Eds.): Consensual Processes. Springer-Verlag, Heidelberg 2011, 430 s., 300 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  69. Holnicki-Szulc P., Horabik J., Nahorski Z., Tainio M.: Modelowanie jakości powietrza atmosferycznego. W: Gabinet Prezesa PAN. Biuro Upowszechniania i Promocji Nauki PAN (Red.): Tradycja - Współczesność - Przyszłość. Refleksje jubileuszowe 1952 - 2012. Polska Akademia Nauk, Warszawa 2012, ss. 161-162.
  70. Holnicki-Szulc P., Nahorski Z., Solarz-Niesłuchowski B., Tainio M.: Uncertainty in Air Quality Forecasts Caused by Emission Uncertainty. In: Proceedings of the 13th Conference on "Harmonisation within Atmospheric Dispersion Modelling for Regulatory Purposes", Paris, France, 1-4 June 2010, ARIA technologies, ss. 119-123.
  71. Holnicki-Szulc P., Nahorski Z., Tainio M.: Modelowanie i wspomaganie decyzji: ocena skutków zdrowotnych zanieczyszczenia powietrza w Warszawie - studium przypadku. W: K. Malinowski, R. Dindorf (Red.): Postępy automatyki i robotyki. Część 1. Politechnika Świetokrzyska, Kielce 2011 [druk w 2012 roku], ss. 307-320, 16 poz. bibl. Seria: Monografie Komitetu Automatyki i Robotyki.
  72. Holnicki-Szulc P., Nahorski Z., Tainio M.: Modelowanie i wspomaganie decyzji: ocena skutków zdrowotnych zanieczyszczenia powietrza w Warszawie -- studium przypadku. W: XVII Krajowa Konferencja Automatyki -- KKA' 2011, Cedzyna, 19--22.06.2011, Politechnika Świetokrzyska, Kielce 2011, ss. 80-91.
  73. Holnicki-Szulc P., Nahorski Z.: Air quality modeling in Warsaw metropolitan area. JOURNAL OF THEORETICAL AND APPLIED COMPUTER SCIENCE, vol. 7, No. 1, 2013, ss. 56-69, 25 poz. bibl.
  74. Holnicki-Szulc P., Nahorski Z.: Air quality modeling in Warsaw metropolitan region. W: "Badania Operacyjne i Systemowe 2012" - nowe wyzwania, nowe technologie - materiały konferencyjne (CD), Warszawa, 17-19.09.2012, IBS PAN, ss. 1-15.
  75. Holnicki-Szulc P., Nahorski Z.: Traveling Toxins. ACADEMIA, vol. 23, No. 3, 2009, ss. 35-37, 5 poz. bibl.
  76. Holnicki-Szulc P., Nahorski Z.: Wędrujące toksyny. ACADEMIA, vol. 19, No. 3, 2009, ss. 35-37, 5 poz. bibl.
  77. Holnicki-Szulc P., Nahorski Z.: Wpływ niepewności danych emisyjnych na dokładność prognoz zanieczyszczeń atmosferycznych. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, vol. 33, No. 1, 2010, ss. 146-157, 13 poz. bibl.
  78. Holnicki-Szulc P., Tainio M., Nahorski Z.: Analysis of an urban air quality and related adverse health effects. In: Nguyen Xuan Thinh (Ed.): Modellierung und Simulation von Oekosystemen. Shaker Verlag, Aachen/Niemcy 2013, ss. 53-68, 22 poz. bibl.
  79. Horabik J., Nahorski Z.: A statistical model for spatial inventory data: a case study of N2O emissions in municipalities of southern Norway. CLIMATIC CHANGE, vol. 103, No. 1-2, 2010, ss. 263-276, 19 poz. bibl.
  80. Horabik J., Nahorski Z.: A statistical model for spatial inventory data: a case study of N2O emissions in municipalities of southern Norway. In: T. White, M. Jonas, Z. Nahorski, S. Nilsson (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, ss. 263-276, 19 poz. bibl.
  81. Horabik J., Nahorski Z.: Improving resolution of a spatial inventory with a statistical inference approach. CLIMATIC CHANGE, 2014 [druk w 2013 roku], ss. 1-17, 20 poz. bibl.
  82. Horabik J., Nahorski Z.: Improving resolution of spatial inventory with a statistical inference approach. In: Proceedings of the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories, Lwów, 22-24 September 2010, Lviv Polytechnic National University, ss. 91-100.
  83. Horabik J., Nahorski Z.: Spatial disaggregation of pollutant concentration data. In: Proceedings of the conference: Spatial Data Methods for Environmental and Ecological Processes, Foggia and Gargano, Puglia, Italy, September 1-2, 2011, ss. 323-326.
  84. Hryniewicz O., Nahorski Z., Horabik J., Jonas M.: Compliance for uncertain inventories: Yet another look?. In: Proceedings of the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories, Lwów, 22-24 September 2010, Lviv Polytechnic National University, ss. 101-108.
  85. Hryniewicz O., Nahorski Z., Verstraete J., Horabik J., Jonas M.: Compliance for uncertain inventories via probabilistic / fuzzy comparison of alternatives. CLIMATIC CHANGE, 2014 [druk w 2013 roku], ss. 1-17, 27 poz. bibl.
  86. Huang W., Oh S., Guo Z., Pedrycz W.: A space search optimization algorithm with accelerated convergence strategies. APPLIED SOFT COMPUTING, vol. 13, No. 13, 2013, ss. 4659-4675, 36 poz. bibl.
  87. Huang W., Oh S., Pedrycz W.: A fuzzy time-dependent project scheduling problem. INFORMATION SCIENCES, vol. 246, No. 246, 2013, ss. 100-114, 35 poz. bibl.
  88. Izakian H., Pedrycz W., Jamal I.: Clustering spatiotemporal data: an augmented fuzzy C-Means. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 21, No. 5, 2013, ss. 855-868, 62 poz. bibl.
  89. Jaworska T., Marin N., Kacprzyk J., Zadrożny S.: On Dealing with Imprecise Information in a Content Based Image Retrieval System. LECTURE NOTES IN COMPUTER SCIENCE, vol. 6178, 2010, ss. 149-158, 21 poz. bibl.
  90. Jonas M., Gusti M., Jęda W., Nahorski Z., Nilsson S.: Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process. CLIMATIC CHANGE, vol. 193, No. 1-2, 2010, ss. 175-213, 30 poz. bibl.
  91. Jonas M., Gusti M., Jęda W., Nahorski Z., Nilsson S.: Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process. CLIMATIC CHANGE, vol. 193, No. 1-2, 2010, ss. 175-213, 30 poz. bibl.
  92. Jonas M., Gusti M., Jęda W., Nahorski Z., Nilsson S.: Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process. In: T. White, M. Jonas, Z. Nahorski, S. Nilsson (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, ss. 175-213, 30 poz. bibl.
  93. Jonas M., Gusti M., Jęda W., Nahorski Z., Nilsson S.: Comparison of preparatory signal analysis techniques for consideration in the (post-)Kyoto policy process. In: T. White, M. Jonas, Z. Nahorski, S. Nilsson (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, ss. 175-213, 30 poz. bibl.
  94. Jonas M., Krey V., Wagner F., Marland G., Nahorski Z.: Dealing with uncertainty in greenhouse gas inventories in an emissions constrained world. In: Proceedings of the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories, Lwów, 22-24 September 2010, Lviv Polytechnic National University, ss. 119-128.
  95. Jonas M., Marland G., Winiwarter W., White T., Nahorski Z., Bun R., Nilsson L.: Benefits of dealing with uncertainty in greenhouse gas inventories. CLIMATIC CHANGE, vol. 103, No. 1-2, 2010, ss. 3-18, 43 poz. bibl.
  96. Jonas M., Marland G., Winiwarter W., White T., Nahorski Z., Bun R., Nilsson S.: Benefits of dealing with uncertainty in greenhouse gas inventories: introduction. In: T. White, M. Jonas, Z. Nahorski, S. Nilsson (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, ss. 3-18, 43 poz. bibl.
  97. Jonas M., White T., Marland G., Lieberman D., Nahorski Z., Nilsson S.: Dealing with uncertainty in GHG inventories: how to go about it? In: K.Marti, Y.Ermoliev, M.Makowski (Eds.): Coping with Uncertainty: Robust Solutions. Springer-Verlag, Heidelberg-Berlin 2009 [druk w 2010 roku], ss. 229-245, 41 poz. bibl. Seria: Lecture Notes in Economics and Mathematical Systems (LNEMS).
  98. Kacprzyk J. (Red.): Innowacyjne rozwiązania w obszarze automatyki, robotyki i pomiarów. PIAP - Przemysłowy Instytut Automatyki i Pomiarów, Warszawa 2009, 301 s., 200 poz. bibl. Seria: Mongrafie-Studia-Rozprawy.
  99. Kacprzyk J. (Red.): Innowacyjne rozwiązania w obszarze automatyki, robotyki i pomiarów. PIAP - Przemysłowy Instytut Automatyki i Pomiarów, Warszawa 2012, 287 s., 300 poz. bibl. Seria: Młodzi innowacyjni.
  100. Kacprzyk J., De Tre G., Zadrożny S.: Remarks on a Fuzzy Approach to Flexible Database Querying, Its Extension and Relation to Data Mining and Summarization. In: Li Yan, Zongmin Ma (Eds.): Advanced Database Query Systems: Techniques, Applications and Technologies. Information Science Reference, Hershey, New York 2011, ss. 118-139.
  101. Kacprzyk J., Gołuńska D., Gorgoń A.: A computational support for the group consensus reaching process in the fuzzy environment. In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Kraków, 8 - 11 September, 2013, Polskie Towarzystwo Informatyczne, ss. 647-650.
  102. Kacprzyk J., Gołuńska D.: The conceptual framework of fairness in consensus reaching process under fuzziness. In: Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting, Edmonton, Canada, Jule 24-28 2013, ss. 1285-1290.
  103. Kacprzyk J., Nuno P., Felipe J. (Eds.): SIMULTECH 2011 - Proceedings of 1st International Conference on Simulation and Modeling Methodologies, Technologies and Applications. SciTePress, Setubal, Portugalia 2011, 700 s., 1000 poz. bibl.
  104. Kacprzyk J., Nurmi H., Zadrożny S.: The role of the OWA operators as a unification tool for the representation of collective choice sets. In: Yager, R. R., Kacprzyk, J., Beliakov, G. (Eds.): Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer, Berlin/Heidelberg 2011, ss. 149-166, 62 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  105. Kacprzyk J., Nurmi H., Zadrożny S.: Towards a comprehensive similarity analysis of voting procedures using rough sets and similarity measures. In: Andrzej Skowron and Zbigniew Suraj (Eds.): Rough Sets and Intelligent Systems - Professor Zdzislaw Pawlak in Memoriam - Volume 1. Springer, 2013, ss. 359-380 Seria: Intelligent Systems Reference Library.
  106. Kacprzyk J., Petry. F., Yazici A. (Eds.): Uncertainty approaches for spatial data modeling and processing. Springer-Verlag, Heidelberg and New York 2010, 225 s., 200 poz. bibl. Seria: Studies in Computational Intelligence.
  107. Kacprzyk J., Szkatuła G.: Inductive learning: a combinatorial optimization approach. In: Koronacki J., Ras Z.W., Wierzchon S.T., Kacprzyk J. (Eds.): Advances in Machine Learning I. Springer, Heidelberg 2010, ss. 75-93, 39 poz. bibl. Seria: Studies in Computational Intelligence.
  108. Kacprzyk J., Wilbik A., Zadrożny S.: An approach to the linguistic summarization of time series using a fuzzy quantifier driven aggregation. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 25, No. 5, 2010, ss. 411-439, 46 poz. bibl.
  109. Kacprzyk J., Wilbik A.: A comprehensive comparison of time series described by linguistic summaries and its application to the comparison of performance of a mutual fund and its benchmark. In: Proceedings of 2010 IEEE World Congress on Computational Intelligence, Barcelona, Hiszpania, July 18-23, 2010, IEEE Press, ss. 25-32.
  110. Kacprzyk J., Wilbik A.: Comparison of time series via classic and temporal protoforms of linguistic summaries: an application to mutual funds and their benchmarks. In: Combining Soft Computing and Statistical Methods in Data Analysis, Oviedo, 28.09 - 01.10.2010, Springer, ss. 369-377.
  111. Kacprzyk J., Wilbik A.: Linguistic summaries of time series using a degree of appropriateness as a measure of interestingness. In: Proceedings of the 9th International Conference on Intelligent Systems Design and Applications, Piza, 30.11.2009 - 2.12.2009, IEEE Computer Society, ss. 385-390.
  112. Kacprzyk J., Wilbik A.: Linguistic summaries of time series: On some additional data independent quality criteria. In: Foundations of Reasoning Under Uncertainty, Malaga, 22 - 27 June, 2008, [druk w 2010 roku] Springer, ss. 143-166.
  113. Kacprzyk J., Wilbik A.: Linguistic summaries of time series: on some extended aggregation techniques. W: Studia i Materiały Polskiego Stowarzyszenia Zarządzania Wiedzą, Bydgoszcz, 20-22 września 2010 r. Polskie Stowarzyszenie Zarządzania Wiedzą, ss. 326-337.
  114. Kacprzyk J., Wilbik A.: Temporal linguistic summaries of time series using fuzzy logic. In: Computational Intelligence for Knowledge-Based Systems Design, Dortmund, Niemcy, 28 czerwca - 2 lipca 2010, Springer, ss. 436-445.
  115. Kacprzyk J., Wilbik A.: Towards an efficient generation of linguistic summaries of time series using a degree of focus. In: Proceedings of the conference: Annual Meeting of the North-American-Fuzzy-Information-Processing Society (NAFIPS 2009), Cincinnati, USA, June 14- 17, 2009, IEEE, ISBN: 978-1-4244-4577-6, ss. CD-NULL.
  116. Kacprzyk J., Zadrożny S., Baczko T.: Towards a human consistent analysis of innovativeness via linguistic data summaries and their protoforms. In: Preferences and Decisions: Models and Applications, Trento, Italy, APR 06-08, 2009, [druk w 2013 roku] Springer, ss. 91-107.
  117. Kacprzyk J., Zadrożny S., Nurmi H., Fedrizzi M.: Fuzzy Preferences as a Convenient Tool in Group Decision Making and a Remedy for Voting Paradoxes. In: Rudolf Seising (Ed.): Views on Fuzzy Sets and Systems from Different Perspectives Philosophy and Logic, Criticisms and Applications. Springer-Verlag, Heidelberg 2009, ss. 345-360 Seria: Studies in Fuzziness and Soft Computing.
  118. Kacprzyk J., Zadrożny S., Nurmi H., Fedrizzi M.: On some voting paradoxes: a fuzzy preference and a fuzzy majority perspective. In: Aldo G. S. Ventre, Antonio Maturo, Šárka Hošková-Mayerová, Janusz Kacprzyk kacprzyk@ibspan.waw.pl (7) (Eds.): Multicriteria and Multiagent Decision Making with Applications to Economics and Social Sciences. Springer-Verlag, Berlin Heidelberg 2013, ss. 219-236 Seria: Studies in Fuzziness and Soft Computing.
  119. Kacprzyk J., Zadrożny S., Raś Z.: Action rules in consensus reaching process support. In: Proceedings of the conference: 9th International Conference on Intelligent Systems Design and Applications (ISDA'09), Pisa, Italy, November-December, 2009, IEEE, ss. 827-832.
  120. Kacprzyk J., Zadrożny S., Raś Z.: How to Support Consensus Reaching Using Action Rules: a Novel Approach. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, vol. 18, No. 4, 2010, ss. 451-470.
  121. Kacprzyk J., Zadrożny S.: A perspective on the role of fuzzy logic, computational linguistics and natural language processing in data mining and data summarization. In: Proceedings of the Tenth SIAM International Conference on Data Mining, Columbus, Ohio, USA, 29.04-1.05.2010, SIAM, ss. 7-18.
  122. Kacprzyk J., Zadrożny S.: Affect, judgement and decision making. Some inspirations for bipolar querying. In: Proceedings of the conference: FOCI-2011 - IEEE Symposium on Foundations of Computational Intelligence, part of the IEEE Symposium Series on Computational Intelligence, Paryż, 11-15.04.2011, IEEE CIS Press, ss. 130-137.
  123. Kacprzyk J., Zadrożny S.: Bipolar queries, and intention and preference modeling: synergy and cross-fertilization. In: Proceedings of the conference: World Conference on Soft Computing, San Francisco, CA, USA, 23/05/2011-26/05/2011, ss. NULL-NULL.
  124. Kacprzyk J., Zadrożny S.: Bipolar queries: some inspirations from intention and preference modeling. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena, Janusz Kacprzyk (Eds.): Combining Experimentation and Theory - A Hommage to Abe Mamdani. Springer, 2012, ss. 191-208, 35 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  125. Kacprzyk J., Zadrożny S.: Bipolarity in preferences and intentions for more human consistent decision analysis and database querying. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE, ss. 21-26.
  126. Kacprzyk J., Zadrożny S.: Compound bipolar queries: combining bipolar queries and queries with fuzzy linguistic quantifiers. In: Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), University of Milano-Bicocca, Milan, Italy, September 11-13, 2013, Atlantis Press, ss. 848-855.
  127. Kacprzyk J., Zadrożny S.: Comprehensiveness and interpretability of linguistic data summaries: a natural language focused perspective. In: Proceedings of the conference: IEEE SSCI Symposium Series on Computational Intelligence, Singapur, 16-19.04.2013, IEEE Xplore, ss. 33-40.
  128. Kacprzyk J., Zadrożny S.: Comprehensiveness of linguistic data summaries: a crucial role of protoforms. In: Christian Moewes and Andreas Nürnberger (Eds.): Computational Intelligence in Intelligent Data Analysis. Springer-Verlag, Berli, Heidelberg 2013, ss. 207-221 Seria: Studies in Computational Intelligence.
  129. Kacprzyk J., Zadrożny S.: Computing with words and protoforms: powerful and far reaching ideas. In: Rudolf Seising, Enric Trillas, Claudio.Moraga, Settimo Termini (Eds.): On Fuzziness. Springer-Verlag, Berlin Heidelberg 2013, ss. 265-270 Seria: Studies in Fuzziness and Soft Computing.
  130. Kacprzyk J., Zadrożny S.: Computing with words and systemic functional linguistics: linguistic data summaries and natural language generation. In: INTEGRATED UNCERTAINTY MANAGEMENT AND APPLICATIONS, ss. 23-36.
  131. Kacprzyk J., Zadrożny S.: Computing with words is an implementable paradigm: fuzzy queries, linguistic data summaries and natural language generation. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 18, No. 3, 2010, ss. 461-472.
  132. Kacprzyk J., Zadrożny S.: Data mining via protoform based linguistic summaries: some possible relations to natural ianguage generation. In: Proceedings of the conference: 2009 Symposium on Computational Intelligence and Data Mining, Nashville, USA, IEEE, ss. 217-224.
  133. Kacprzyk J., Zadrożny S.: Derivation of linguistic summaries is inherently difficult: can association rule mining help? In: Borgelt Ch., Gil M. A., Sousa J. M. C., Verleysen M. (Eds.): Towards Advanced Data Analysis by Combining Soft Computing and Statistics. Springer-Verlag, 2013, ss. 291-303 Seria: Studies in fuzziness and soft computing.
  134. Kacprzyk J., Zadrożny S.: Grasping the Content of Web Servers Logs: A Linguistic Summarization Approach. In: SYNERGIES OF SOFT COMPUTING AND STATISTICS FOR INTELLIGENT DATA ANALYSIS, Konstanz, Germany, 4-6.10.2012, Springer, ss. 449-457.
  135. Kacprzyk J., Zadrożny S.: Hierarchical bipolar fuzzy queries: towards more human consistent flexible queries. In: Proceedings of the conference: 2013 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2013), Hyderabad, India, July 7-10 2013, ss. 1-8.
  136. Kacprzyk J., Zadrożny S.: Linguistic Data Summarization: A High Scalability through the Use of Natural Language? In: A. Laurent and M.-J. Lesot (Eds.): Scalable Fuzzy Algorithms for Data Management and Analysis: Methods and Designs. Information Science Reference (IGI), Hershey New York 2010, ss. 214-237.
  137. Kacprzyk J., Zadrożny S.: Modern data-driven decision support systems: the role of computing with words and computational linguistics. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, vol. 39, No. 4, 2010, ss. 379-393.
  138. Kacprzyk J., Zadrożny S.: Power of Linguistic Data Summaries and Their Protoforms. In: Cengiz Kahraman (Ed.): Computational Intelligence Systems in Industrial Engineering With Recent Theory and Applications. Atlantis Press, Amsterdam, Paris, Beijing 2012, ss. 71-90 Seria: ATLANTIS COMPUTATIONAL INTELLIGENCE SYSTEMS.
  139. Kacprzyk J., Zadrożny S.: Protoforms of Linguistic Database Summaries as a Human Consistent Tool for Using Natural Language in Data Mining. INTERNATIONAL JOURNAL OF SOFTWARE SCIENCE AND COMPUTATIONAL INTELLIGENCE, vol. 1, No. 1, 2009, ss. 100-111.
  140. Kacprzyk J., Zadrożny S.: Soft computing and Web intelligence for supporting consensus reaching. SOFT COMPUTING, vol. 14, No. 8, 2010, ss. 833-846.
  141. Kacprzyk J., Zadrożny S.: Some Fuzzy Logic Based Approaches to Flexible Database Querying and their Use for Discovering Security Related Information. In: Mark Last, Abraham Kandel (Eds.): Web Intelligence and Security - Advances in Data and Text Mining Techniques for Detecting and Preventing Terrorist Activities on the Web. IOS Press, Amsterdam, Berlin, Tokyo, Wash 2010, ss. 169-188, 46 poz. bibl. Seria: NATO Science for Peace and Security Series - D: Information and Communication Security.
  142. Kacprzyk J., Zadrożny S.: Supporting Consensus Reaching Processes under Fuzzy Preferences and a Fuzzy Majority via Linguistic Summaries. In: Preferences and Decisions: Models and Applications, Trento, Italy, APR 06-08, 2009, [druk w 2010 roku] Springer, ss. 261-279.
  143. Kacprzyk J., Zadrożny S.: Supporting decision making via verbalization of data analysis using linguistic data summaries. In: E. Rakus-Andersson, R. Yager, N. Ichalkaranje, L. Jain (Eds.): Recent Advances in Decision Making. Springer, Berlin Heidelberg 2009, ss. 121-143 Seria: Studies in Computational Intelligence.
  144. Kacprzyk J., Zadrożny S.: Towards a General and Unified Characterization of Individual and Collective Choice Functions under Fuzzy and Nonfuzzy Preferences and Majority via the Ordered Weighted Average Operators. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 24, No. 1, 2009, ss. 4-26, 60 poz. bibl.
  145. Kacprzyk J., Zadrożny S.: Towards human consistent data driven decision support systems using verbalization of data mining results via linguistic data summaries. BULLETIN OF THE POLISH ACADEMY OF SCIENCES: TECHNICAL SCIENCES, vol. 58, No. 3, 2010, ss. 359-370.
  146. Kacprzyk J.: Fuzzy dynamic programming: interpolative reasoning for an efficient derivation of optimal control policies. CONTROL AND CYBERNETICS, vol. 42, No. 1, 2013, ss. 63-84, 37 poz. bibl.
  147. Kacprzyk J.: Fuzzy sets theory, foundations of. In: Robert A. Meyers (Ed.): Encyclopedia of Complexity and Systems Science. Springer, Heidelberg 2009, ss. 4059-4080, 111 poz. bibl.
  148. Kacprzyk J.: Mediterranean region: a difficult but necessary road to information society and knowledge based economy. In: Incidencia de las Relaciones Economicas Internacionales en la Recuperacion Economica del Area Moditerranea, Barcelona, 24.02.2011, RACEF - Hiszpańska Królewska Akademia Nauk Ekonomicznych i Finansowych, ss. 31-44.
  149. Kacprzyk J.: Multistage fuzzy control: interpolative reasoning for an efficient derivation of optimal control policies. In: M. Busłowicz, M. Malinowski (Eds.): Advances in Control Theory and Automation. Oficyna Wydawnicza Politechniki Białostockiej, Białystok 2012, ss. 117-128, 31 poz. bibl. Seria: Monografie Komitetu Automatyki i Robotyki PAN.
  150. Koronacki J., Raś Z., Wierzchoń S., Kacprzyk J. (Eds.): Advances in machine learning I. Springer-Verlag, Heidelberg and New York 2010, 524 s. Seria: Studies in Computational Intelligence.
  151. Koronacki J., Raś Z., Wierzchoń S., Kacprzyk J. (Eds.): Advances in machine learning II. Springer-Verlag, Heidelberg and New York 2010, 532 s., 400 poz. bibl. Seria: Studies in Computational Intelligence.
  152. Krajewski W., Miani S., Morassutti A., Viaro U.: Switching Policies for Mold Level Control in Continuous Casting Plants. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 18, No. 6, 2010, ss. 1-11, 25 poz. bibl.
  153. Krajewski W., Miani S., Viaro U.: Variable-structure control of casting processes. In: Proceedings of the Conference, Miedzyzdroje, Polska, 23-26 August, 2010, IEEEXplore, ss. 49-54.
  154. Krajewski W., Viaro U.: A method for the integer-order approximation of fractional-order systems. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, vol. 351, No. 1, 2014 [druk w 2013 roku], ss. 555-564, 26 poz. bibl.
  155. Krajewski W., Viaro U.: Iterative interpolation algorithms for L2 model reduction. CONTROL AND CYBERNETICS, vol. 38, No. 2, 2009, ss. 543-554, 24 poz. bibl.
  156. Krajewski W., Viaro U.: On Robust PID Control for Time-Delay Plants. In: Proceedings of the conference: 17th International Conference on Methods and Models in Automation and Robotics (MMAR), Miedzyzdroje, 27-30 August 2012, ss. 540-545.
  157. Krajewski W., Viaro U.: On the rational approximation of fractional order systems. In: Proc. 16th International Conf. on Math. Models in Aut. and Rob., Międzyzdroje, Międzyzdroje, 22 - 25 August 2011, IEEE Explore, ss. 132-136.
  158. Krajewski W., Viaro U.: Onrobust $PI^{\lambda}D^{\mu}$ control for time-delay non-integrer order plants. In: Proceedings of the conference: MMAR 2013-18th International Conf. on Methods and Models in Automation and Robotics, Miedzyzdroje, 26-29 August 2013, Uniwersytet Szczecinski, ss. 616-621.
  159. Krawczak M., Atanassov K., Sotirov S.: Generalized net model for parallel optimization of feed-forward neural network with variable learning rate backpropagation algorithm with tme limit. In: V. Sgurev, M. Hadjiski (Eds.): Intelligent Systems: From Theory to Practice, SCI 299. Springer-Verlag, Heidelberg 2010, ss. 361-371, 19 poz. bibl. Seria: SCI.
  160. Krawczak M., Atanassov K., Sotirov S.: Generalized Net Model of the Intuitionistic Fuzzy Feedforward Neural Networks. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 15, No. 2, 2009, ss. 18-23, 15 poz. bibl.
  161. Krawczak M., Gocheva E., Sotirov S.: Modelling of the verification by iris scanning by generalized net. In: Atanassov K.T., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Ac. Publ. House EXIT, Warsaw 2008 [druk w 2009 roku], ss. 69-74, 14 poz. bibl. Seria: CHALLENGING PROBLEMS OF SCIENCE. COMPUTER SCIENCE.
  162. Krawczak M., Shannon A., Riecan B., Orozova D., Sotirova E., Atanassov K., Melo-Pinto P., Parvathi R., Kim T.: Generalized Net Model of the Process of Selection and Usage of an Intelligent e-Learning System. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE, ss. 233-236.
  163. Krawczak M., Shanon A., Dimitriakiev D., Sotirova E., Kim T.: Towards a Model of the Digital University: Generalized Net Model of Apprasial of Lectures with Intuitionistic Fuzzy Estimations. CYBERNETICS AND INFORMATION TECHNOLOGIES, vol. 2, 2009, ss. 69-78, 12 poz. bibl.
  164. Krawczak M., Sotirov S., Atanassov K. (Eds.): Multilayer neural networks and generalized nets. Wyższa Szkoła Informatyki Stosowanej i Zarządzania, Warsaw 2010, 150 s., 84 poz. bibl.
  165. Krawczak M., Sotirov S., Sotirova E.: Generalized Net Model for Parallel Optimization of Multilayer Neural Network with Time Limit. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE, ss. 173-177.
  166. Krawczak M., Szkatuła G.: A Clustering Algorithm Based on Distinguishability for Nominal Attributes. In: Artificial Intelligence and Soft Computing, Lecture Notes in Artificial Intelligence, LNAI 7267, Zakopane, Poland, April/May 2012, Springer, ss. 120-127.
  167. Krawczak M., Szkatuła G.: A hybrid approach for dimension reduction in classification. CONTROL AND CYBERNETICS, vol. 40, No. 2, 2011, s. NULL, 16 poz. bibl.
  168. Krawczak M., Szkatuła G.: A new measure of groups perturbation. In: Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting, Edmonton, Canada, Jule 24-28 2013, ss. 1291-1296.
  169. Krawczak M., Szkatuła G.: An approach to dimensionality reduction in time series. INFORMATION SCIENCES, vol. 260, 2014 [druk w 2013 roku], ss. 15-36, 79 poz. bibl.
  170. Krawczak M., Szkatuła G.: Dimension reduction of time series for clustering problem. In: Atanassov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Systems Research Institute PAS, Warsaw 2012, ss. 101-110, 12 poz. bibl.
  171. Krawczak M., Szkatuła G.: Nominal Time Series Representation for the Clustering Problem. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE, ss. 182-187.
  172. Krawczak M., Szkatuła G.: On decisions rules application to time series classification. In: Atanassov K.T., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Ac. Publ. House EXIT, Warsaw 2008 [druk w 2009 roku], ss. 95-104, 17 poz. bibl. Seria: CHALLENGING PROBLEMS OF SCIENCE. COMPUTER SCIENCE.
  173. Krawczak M., Szkatuła G.: On perturbation measure of clusters: application. In: Proceedings of the conference: 12th Int. Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 9-13, 2013, Springer, ss. 176-183.
  174. Krawczak M., Szkatuła G.: On time series envelopes for classification problem. In: Atanasov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Developments in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. SRI PAS, Warszawa 2010, ss. 149-164, 19 poz. bibl.
  175. Krawczak M., Szkatuła G.: Redukcja wymiarowości szeregów czasowych. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, No. 31, 2010, ss. 32-45, 17 poz. bibl.
  176. Krawczak M., Szkatuła G.: The hierarchical agglomerative approach to cluster data series. In: Atanassov T. (et al) (Ed.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Volume II: Applications. SRI PAS, IBS PAN, Warsaw 2011, ss. 101-111.
  177. Krawczak M., Szkatuła G.: Time series envelopes for classification. In: Proceedings of the conference: 2010 IEEE International Conference on Intelligent Systems, London, UK, July 7-9 2010, ss. 156-161.
  178. Krawczak M.: Multilayer neural networks: a generalized net perspective. Springer-Verlag, Heidelberg 2013, 182 s., 218 poz. bibl.
  179. Lee M., Pedrycz W.: Adaptive learning of ordinal-numerical mappings through fuzzy clustering for the objects of mixed features. FUZZY SETS AND SYSTEMS, vol. 161, No. 4, 2010 [druk w 2012 roku], ss. 564-577, 32 poz. bibl.
  180. Lesiv M., Shchepashchenko D., Striamets O., Nahorski Z.: Algorithm and tool to develop a forest map by using GWR model in R: case study for Ukraine. In: Proceedings of the International Conference on Computer Science and Information Technologies, Lviv, Ukraine, 11-16 November 2013, Lviv Polytechnic National University, ss. 6-7.
  181. Li D., Pedrycz W.: A central profile-based 3D face pose estimation. PATTERN RECOGNITION , vol. 47, No. 47, 2013, ss. 525-534, 25 poz. bibl.
  182. Liang D., Liu D., Pedrycz W., Hu P.: Triangular fuzzy decision-theoretic rough sets. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 54, No. 54, 2013, ss. 1087-1106, 67 poz. bibl.
  183. Liang X., Pedrycz W.: Logic-based fuzzy networks: a study in system modeling with triangular norms and uninorms. FUZZY SETS AND SYSTEMS, vol. 160, No. 24, 2009 [druk w 2012 roku], ss. 3475-3502, 56 poz. bibl.
  184. Lin W., Tao D., Kacprzyk J., Izquierdo E., Wang H. (Eds.): Multimedia Analysis, processing and Communications. Springer-Verlag, Heidelberg 2011, 764 s., 300 poz. bibl. Seria: Studies in Computational Intelligence.
  185. Liu X., Zhai K., Pedrycz W.: An improved association rule mining method. EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, 2012, ss. 1362-1374, 60 poz. bibl.
  186. Lodwick W., Kacprzyk J. (Eds.): Fuzzy optimization. Recent advances and applications. Springer-Verlag, Heidelberg and New York 2010, 533 s., 500 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  187. Malinowski J.: A computer program for the analysis and visualisation of a flow network with changing topology. In: Nguyen Xuan Thinh (Ed.): Modellierung und Simulation von Oekosystemen. Shaker Verlag, Aachen/Niemcy 2013, ss. 149-163, 5 poz. bibl. Seria: Umweltinformatik.
  188. Malinowski J.: A method of computing the inter-state transition intendities for multi-state series-parallel systems. In: Safety, Reliability and Risk Analysis: Beyond the Horizon, Amsterdam, Holandia, 29.09 - 3.10.2013, CRC Press, Taylor & Francis Group, ss. 1213-1219.
  189. Malinowski J.: A Monte Carlo Method for estimating reliability parameters of a complex repairable technical system with inter-component dependencies. IEEE TRANSACTIONS ON RELIABILITY, vol. 62, No. 1, 2013, ss. 256-266, 17 poz. bibl.
  190. Malinowski J.: A New Efficient Algorithm for Generating All Minimal Tie-Sets Connecting Selected Nodes in a Mesh-Structured Network. IEEE TRANSACTIONS ON RELIABILITY, vol. 59, No. 1, 2010, ss. 203-211, 15 poz. bibl.
  191. Malinowski J.: A reliability model of water supply systems for failure prediction and maintenance planning. In: J. Wittmann, B. Page (Eds.): Simulation in Umwelt- und Geowissenschaften. Shaker Verlag, Berlin, Heidelberg 2012, ss. 97-106, 10 poz. bibl. Seria: Umweltinformatik.
  192. Malinowski J.: A semi-Markov model of the variability of power generation from renewable sources. W: "Badania Operacyjne i Systemowe 2012" - nowe wyzwania, nowe technologie - materiały konferencyjne (CD), Warszawa, 17-19.09.2012, IBS PAN, ss. NULL-NULL.
  193. Malinowski J.: A simulation model for complex repairable systems with intercomponent dependencies and three types of component failures. In: Advances in Safety, Reliability and Risk Management, Troyes, Francja, 18-22 września 2011 r. CRC Press, Taylor & Francis Group, ss. 790-795.
  194. Malinowski J.: A structure-capacity analysis of a water supply system with randomly failing components. In: J. Wittmann, B. Page (Eds.): Simulation in Umwelt- und Geowissenschaften. Shaker Verlag, Aachen 2013, ss. 253-263, 4 poz. bibl. Seria: Umweltinformatik.
  195. Malinowski J.: Accuracy analysis for reliability parameters estimation of a network system with non-independent components. In: Reliability, Risk and Safety. Back to the Future. Rodos, Grecja, 5-9 września, 2010 r. CRC Press, Taylor & Francis Group, ss. 990-997.
  196. Malinowski J.: Determining reliability parameters for a tree-structured commodity transfer system with non-independent components. In: Reliability, Risk and Safety. Theory and Applications, Praga, Czechy, 7-10 września 2009, CRC Press, Taylor & Francis Group, ss. 1563-1568.
  197. Malinowski J.: Modeling the impact of environmental factors on energy production and distribution system with dispersed generation and renewable sources. In: J. Wittmann, V. Wohlgemuth (Eds.): Simulation in Umwelt- und Geowissenschaften. Shaker Verlag, Aachen 2011 2011, ss. 53-63, 26 poz. bibl. Seria: Berichte aus der Umweltinformatik.
  198. Malinowski J.: Modeling variability of renewable energy sources by a semi-Markov process for power generation prediction. In: A. Gnauck (Ed.): Modellierung und Simulation von Oekosystemen'2012. Shaker Verlag, Aachen 2012, ss. 226-234, 9 poz. bibl. Seria: Berichte aus der Umweltinformatik.
  199. Malinowski J.: Reliability Aspects of Multi-commodity Markets. In: Kaleta, Mariusz; Traczyk, Tomasz (Eds.): Modeling Multi-commodity Trade: Information Exchange Methods. Vol. 121. Springer, Berlin, Heidelberg 2012, ss. 113-125, 6 poz. bibl. Seria: Advances in Intelligent and Soft Computing.
  200. Malinowski J.: Symulacyjna metoda wyznaczania parametrów niezawodnościowych systemu przesyłowego o zależnych elementach. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, vol. 31, 2010, ss. 201-209, 7 poz. bibl.
  201. Marinov E., Szmidt E., Kacprzyk J., Tcvetkov R.: A modified weighted Hausdorff distance between intuitionistic fuzzy sets. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE, ss. 138-141.
  202. Mashinchi M., Orgun M., Mashinchi M., Pedrycz W.: A Tabu-Harmony Search-Based Approach to Fuzzy Linear Regression. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 19, No. 3, 2011, ss. 432-448, 61 poz. bibl.
  203. Mashinchi M., Orgun M., Pedrycz W.: Hybrid optimization with improved tabu search. APPLIED SOFT COMPUTING, vol. 11, No. 2, 2011, ss. 1993-2006, 51 poz. bibl.
  204. Matthe T., De Tre G., Zadrożny S., Kacprzyk J., Bronselaer A.: Bipolar database querying using bipolar satisfaction degrees. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 26, No. 10, 2011, ss. 890-910, 22 poz. bibl.
  205. Mażbic-Kulma B., Owsiński J., Sęp K.: Application of selected methods of graph theory and combinatorial heuristics to minimising the number of transit nodes in an air network. TOTAL LOGISTIC MANAGEMENT, vol. 1, No. 1, 2008 [druk w 2009 roku], ss. 111-125, 22 poz. bibl.
  206. Mażbic-Kulma B., Owsiński J., Stańczak J., Sęp K.: Kernel and shell structure as a method of optimization the graph of transportation connections. W: "Badania Operacyjne i Systemowe 2012" - nowe wyzwania, nowe technologie - materiały konferencyjne (CD), Warszawa, 17-19.09.2012, IBS PAN, ss. 1-12.
  207. Mażbic-Kulma B., Potrzebowski H., Stańczak J., Sęp K.: Evolutionary approach to find kernel and shell structure of a connection graph. TOTAL LOGISTIC MANAGEMENT, vol. 2, No. 2009, 2010, ss. 37-50, 18 poz. bibl.
  208. Mażbic-Kulma B., Potrzebowski H., Stańczak J., Sęp K.: Przekształcanie grafu połączeń do struktury kernell and shell i jej zastosowania w zagadnieniach transportowych. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, No. 31, 2010, ss. 179-190, 18 poz. bibl.
  209. Mażbic-Kulma B., Sęp K.: Metody teorii grafów i heurystyki kombinatoryczne. W: J. W. Owsiński (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. IBS PAN, Warszawa 2010, ss. 93-113, 34 poz. bibl. Seria: Badania Systemowe.
  210. Mażbic-Kulma B., Stańczak J., Owsiński J., Sęp K.: Evolutionary approach for obtaining the hub and spoke structure in the logistic network. TOTAL LOGISTIC MANAGEMENT, vol. 1, No. 4, 2012 [druk w 2013 roku], ss. 89-105, 30 poz. bibl.
  211. Mażbic-Kulma B., Stańczak J., Owsiński J., Sęp K.: Evolutionary approach for obtaining the hub and spoke structure in the logistic network. W: Total logistic Management, Zakopane, 8-10.12.2011, ss. NULL-NULL.
  212. Mażbic-Kulma B., Stańczak J., Sęp K.: Ewolucyjna metoda znajdowania struktury „hub & spoke” w grafie ważonym. W: Adam Lichota, Katarzyna Majewska (Red.): Wybrane zagadnienia logistyki stosowanej. AGH, Kraków 2013, ss. 269-280, 13 poz. bibl. Seria: Wydawnictwa AGH.
  213. Mażbic-Kulma B., Stańczak J., Sęp K.: Ewolucyjna metoda znajdowania struktury „hub & spoke” w grafie ważonym. W: Materiały XVI. KONFERENCJI LOGISTYKI STOSOWANEJ "TOTAL LOGISTIC MANAGEMENT" wydane na płycie CD-ROM, Zakopane, 6-8.12.2012, AGH, ss. 1-12.
  214. Mażbic-Kulma B., Stańczak J., Sęp K.: Finding Structure Kernel and Shell with Predetermined Cardinality of Kernel Set, Using Evolutionary Algorithm. TOTAL LOGISTIC MANAGEMENT, vol. 1, No. 3, 2011, ss. 53-64, 19 poz. bibl.
  215. Mażbic-Kulma B., Stańczak J., Sęp K.: Finding structure kernel and shell with predetermined cardinality of kernel set, using evolutionary algorithm. W: Total Logistic Management, Zakopane, 2-4 12 2010, AGH, ss. NULL-NULL.
  216. Melin P., Kacprzyk J., Pedrycz W. (Eds.): Bio-inspired hybrid intelligent systems for image analysis and pattern recognition. Springer-Verlag, Heidelberg and New York 2010, 264 s., 200 poz. bibl. Seria: Studies in Computational Intelligence.
  217. Melin P., Kacprzyk J., Pedrycz W. (Eds.): Soft Computing for Recognition Based on Biometrics. Springer-Verlag, Heidelberg 2011, 456 s., 350 poz. bibl. Seria: Studies in Computational Intelligence.
  218. Melin P., Kacprzyk J., Pedrycz W. (Eds.): Soft Computing for Recognition Based on Biometrics. Springer-Verlag, Heidelberg 2011, 456 s., 350 poz. bibl. Seria: Studies in Computational Intelligence.
  219. Mitkowski W., Kacprzyk J. (Eds.): Modelling dynamics in processes and systems. Springer-Verlag, Heidelberg 2009, 192 s., 200 poz. bibl. Seria: Studies in Computational Intelligence.
  220. Mitra S., Kundu P., Pedrycz W.: Feature selection using structural similarity. INFORMATION SCIENCES, vol. 198, 2012, ss. 48-61.
  221. Nahorski Z., Horabik J.: A market for pollution emission permits with low accuracy of emission estimates. In: Modelling Multi-Commodity Trade: Information Exchange Methods, Warszawa, 5 November 2010, [druk w 2012 roku] Springer, ss. 121-135.
  222. Nahorski Z., Horabik J.: Compliance and emission trading rules for asymmetric emission uncertainty estimates. CLIMATIC CHANGE, vol. 103, No. 1-2, 2010, ss. 303-325, 16 poz. bibl.
  223. Nahorski Z., Horabik J.: Compliance and emission trading rules for asymmetric emission uncertainty estimates. In: T. White, M. Jonas, Z. Nahorski, S. Nilsson (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, ss. 303-325, 16 poz. bibl.
  224. Nahorski Z., Horabik J.: On the choice of membership function in a fuzzy model of compliance with highly uncertain emissions. In: Atanasov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Developments in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. SRI PAS, Warszawa 2010, ss. 165-188, 16 poz. bibl.
  225. Nahorski Z., Radziszewska W., Parol M., Pałka P.: Inteligentne systemy bilansowania mocy w mikrosieciach elektroenergetycznych. RYNEK ENERGII, vol. 1, No. 98, 2012, ss. 59-66.
  226. Nahorski Z., Radziszewska W.: Price formation strategies of programmable agents in continuous double auctions. In: M. Busłowicz, M. Malinowski (Eds.): Advances in Control Theory and Automation. Oficyna Wydawnicza Politechniki Białostockiej, Białystok 2012, ss. 181-194, 17 poz. bibl. Seria: Monografie Komitetu Automatyki i Robotyki PAN.
  227. Nahorski Z., Stańczak J., Pałka P.: Application of multi-commodity market model for greenhouse gases emission permits trading. In: Proceedings of the conference: Scientific Workshop on Modeling Multi-commodity Trade - Information Exchange Methods, Warszawa, 5 November 2010, [druk w 2012 roku] Politechnika Warszawska, ss. 137-149.
  228. Nahorski Z., Stańczak J., Pałka P.: Multi-agent approach to simulation of the greenhouse gases emission permits market. In: Proceedings of the 3rd International Workshop on Uncertainty in Greenhouse Gas Inventories, Lwów, 22-24 September 2010, Lviv Polytechnic National University, ss. 183-194.
  229. Nahorski Z., Stańczak J., Radziszewska W., Pałka P.: Wieloagentowa metodyka zarządzania niedoborami i nadmiarami energii w sieciach dystrybucyjnych. RYNEK ENERGII, No. 1(92), 2011, ss. 22-27.
  230. Nedjah N., Mourelle L., Kacprzyk J. (Eds.): Innovative applications in data mining. Springer-Verlag, Heidelberg 2009, 124 s., 150 poz. bibl. Seria: Studies in Computational Intelligence.
  231. Nedjah N., Mourelle L., Kacprzyk J., Franca F., De Souza A. (Eds.): Intelligent text categorization and clustering. Springer-Verlag, Berlin - Heidelberg 2009, 119 s. Seria: Studies in Computational Intelligence.
  232. Nuno P., Kacprzyk J., Felipe J. (Eds.): Simulation and modelling methodologies, technologies and applications (SIMULTECH 2011). Springer-Verlag, Berlin 2013, 300 s., 200 poz. bibl. Seria: Advancs in Intelligent Systems and Computing.
  233. Oh S., Jang H., Pedrycz W.: Optimized fuzzy PD cascade controller: A comparative analysis and design. SIMULATION MODELLING PRACTICE AND THEORY, vol. 19, No. 1, 2011, ss. 181-195.
  234. Oh S., Jung S., Pedrycz W.: Design of optimized fuzzy cascade controllers by means of hierarchical fair competition-based genetic algorithms. EXPERT SYSTEMS WITH APPLICATIONS, vol. 36, No. 9, 2009, ss. 11641-11651, 25 poz. bibl.
  235. Oh S., Kim W., Pedrycz W., Joo S.: Design of K-means clustering-based polynomial radial basis function neural networks (pRBFNNs) realized with the aid of particle swarm optimization and differential evolution. NEUROCOMPUTING, vol. 78, 2012, ss. 121-132.
  236. Oh S., Kim W., Pedrycz W., Park B.: Polynomial-based radial basis function neural networks (P-RBF NNs) realized with the aid of particle swarm optimization. FUZZY SETS AND SYSTEMS, vol. 163, 2011, ss. 54-77.
  237. Oh S., Pedrycz W., Roh S.: Genetically optimized hybrid fuzzy set-based polynomial neural networks. JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS, vol. 348, No. 2, 2011, ss. 415-425.
  238. Oh S., Pedrycz W., Roh S.: Hybrid fuzzy set-based polynomial neural networks and their development with the aid of genetic optimization and information granulation. APPLIED SOFT COMPUTING, vol. 9, No. 3, 2009, ss. 1068-1089, 21 poz. bibl.
  239. Olszewski D., Kacprzyk J., Zadrożny S.: Employing self-organizing map for fraud detection. In: Proceedings of the conference: 12th Int. Conference on Artificial Intelligence and Soft Computing (ICAISC), Zakopane, Poland, June 9-13, 2013, Springer, ss. 150-161.
  240. Olszewski D., Kacprzyk J., Zadrożny S.: Time series visualization using asymmetric self-organizing map. In: Tomassini, M.; Antonioni, A.; Daolio, F.; Buesser, P. (Eds.): Adaptive and Natural Computing Algorithms. Springer-Verlag, Berlin Heidelberg 2013, ss. 40-49 Seria: Lecture Notes in Computer Science.
  241. Owsiński J. (Ed.): Corruption and good governance. Journal of Organisational Transformation and Social Change, Bristol, UK 2010, 142 s.
  242. Owsiński J. (Ed.): MODEST - modelling of economies & societies in transition - ICT and its impacts - economy - environment - patterns in management. Studies & Proceedings Polish Association for Knowledge Management, Bydgoszcz 2010, 118 s. Seria: nr 34.
  243. Owsiński J. (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. Instytut Badan Systemowych PAN, Warszawa 2010, 173 s. Seria: Badania Systemowe, t. 67.
  244. Owsiński J. (Red.): Bezpieczeństwo - środowisko - przestrzeń - rolnictwo. Studia i Materiały Polskiego Stowarzyszenia Zarządzania Wiedzą, Bydgoszcz 2010, 262 s. Seria: nr 33.
  245. Owsiński J. (Red.): Dane - analiza - modelowanie - optymalizacja - pdejmowanie decyzji. Studia i Materiały Polskiego Stowarzyszenia Zarządzania Wiedzą, Bydgoszcz 2010, 356 s. Seria: nr 31.
  246. Owsiński J. (Red.): Decision making in politics and business. Badania Operacyjne i Decyzje - kwartalnik, Wrocław 2009 [druk w 2010 roku], 155 s. Seria: czasopismo Badania Operacyjne i Decyzje.
  247. Owsiński J. (Red.): Kapitał społeczny i ludzki - społeczeństwo informacyjne - gospodarka - zarządzanie - informatyka. Studia i Materiały Polskiego Stowarzyszenia Zarządzania Wiedzą, Bydgoszcz 2010, 282 s. Seria: nr 32.
  248. Owsiński J., Andrzejewski M.: Rural municipalities in Poland: Development types, paths and perspectives. Preliminary results - the spatial aspect. In: A. Fieldsend (Ed.): Linking Competitiveness with Equity and Sustainability: New Ideas for the Socio-Economic Development of Rural Areas. ERDN, Warszawa 2010, ss. 177-196, 7 poz. bibl. Seria: Rural Areas and Development.
  249. Owsiński J., Gadomski J., Sobczak E.: Kilka uwag o rozumieniu rozwoju zrównoważonego. W: J. W. Owsiński (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. IBS PAN, Warszawa 2010, ss. 27-46, 4 poz. bibl. Seria: Badania Systemowe.
  250. Owsiński J., Milczewski M.: Rekursja w problemie regionalizacji. W: J. W. Owsiński (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. IBS PAN, Warszawa 2010, ss. 47-58, 5 poz. bibl. Seria: Badania Systemowe.
  251. Owsiński J., Pielak A., Sęp K., Ponichtera R.: TIROLS: local web-based networks centred on self-governmental websites vs. local activity - a project outline. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, No. 34, 2010, ss. 20-36, 79 poz. bibl.
  252. Owsiński J., Pielak A., Sęp K., Stańczak J.: Local web-based networks in rural municipalities: extension, density and meaning. In: Z. Andreopoulou, V. Samathrakis, S. Louca, M. Vlachopoulou (Eds.): E-Innovation for Sustainable Development of Rural Resources During Global Economic Crisis. IGI Global, Hershey, USA 2013, ss. 126-151, 53 poz. bibl. Seria: Business Science Reference.
  253. Owsiński J., Pielak A., Sęp K.: Local web-based networks and local (sustainable) development: is there anything to write home about on masovian municipalities? W: Sławomir Partycki (Red.): Strategie działań w warunkach kryzysu. Wydawnictwo KUL, Lublin 2013, ss. 47-58, 37 poz. bibl.
  254. Owsiński J., Pielak A., Sęp K.: Smartness, culture and local authority ICT awareness: an empirical enquiry for a province in Poland. STUDIES IN AGRICULTURAL ECONOMICS, vol. 115, No. 2, 2013, ss. 68-75, 28 poz. bibl.
  255. Owsiński J., Pielak A., Sęp K.: Web-based networks centred on self-governmental municipality websites vs. local activity. W: S. Partycki (Red.): Społeczeństwo sieci. Gospodarka sieciowa w Europie Środkowej i Wschodniej. Wydawnictwo KUL, Lublin 2011, ss. 475-488, 60 poz. bibl.
  256. Owsiński J., Pielak A.: Gminy i powiaty województwa mazowieckiego w internecie: rozszerzona analiza WAES dla reprezentatywnych JST. W: Colin F. Hales (Red.): Społeczeństwo informacyjne. Wizje, struktury i determinanty rozwoju. Uniwersytet Rzeszwoski, Wydział Ekonomii, Pracownia Naukowo-Dydaktyczna Informatyki Gospodarczej, Rzeszów 2009, ss. 143-150, 3 poz. bibl.
  257. Owsiński J., Pielak A.: ICT and rural municipalities: are their websites the cores of the local social networks? NIERÓWNOŚCI SPOŁECZNE A WZROST GOSPODARCZY, No. 22, 2011 [druk w 2012 roku], ss. 50-63, 60 poz. bibl.
  258. Owsiński J., Pielak A.: Local Authority Websites in Rural Areas: Measuring Quality and Functionality and Assessing the Role. In: Z. Andreopoulou, B. Manos, N. Polman, D. Viaggi (Eds.): Agricultural and Environmental Informatics, Governance and Management: Emerging Research Applications. IGI Global, Hershey, PA 2011, ss. 39-60, 34 poz. bibl. Seria: Information Science Reference.
  259. Owsiński J., Pielak A.: Monitoring the functionality and quality of local administration websites in Poland's Masovia region: what can be inferred? W: C. Hales, B. Mikuła (Red.): Społeczeństwo informacyjne. Gospodarka, technologie, procesy. Wydawnictwo Uniwersytetu Ekonomicznego w Krakowie, Kraków 2011 [druk w 2012 roku], ss. 231-245, 5 poz. bibl.
  260. Owsiński J., Stańczak J., Sęp K., Potrzebowski H.: Machine-Part Grouping in Flexible Manufacturing: Formalisation and the Use of Genetic Algorithms. In: 10th IFAC Workshop on Intelligent Manufacturing Systems, Lizbona, 1-2 lipca 2010 r. IFAC, ss. 233-238.
  261. Owsiński J., Stańczak J., Sęp K., Potrzebowski H.: Machine-Part Grouping in Flexible Manufacturing: Formalisation and the Use of Genetic Algorithms. In: 10th IFAC Workshop on Intelligent Manufacturing Systems, Lizbona, 1-2 lipca 2010 r. IFAC, ss. 233-238.
  262. Owsiński J.: Asymmetric distances - a natural case for fuzzy clustering? In: Dmitri A. Viattchenin (Ed.): Developments in Fuzzy Clustering. VEVER, Mińsk, Białoruś 2009, ss. 36-45, 13 poz. bibl.
  263. Owsiński J.: Asymmetric distances and fuzzy grouping. In: Atanassov K., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Ac. Publ. House EXIT, Warsaw 2010, ss. 207-215, 17 poz. bibl.
  264. Owsiński J.: Asymmetric distances: potential output structures and procedures. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, No. 31, 2010, ss. 317-325, 17 poz. bibl.
  265. Owsiński J.: Clustering and ordering via the bi-partial approach: the rationale, the model and some algorithmic considerations. In: J. Pociecha, R. Decker (Eds.): Data Analysis Methods and Its Applications. Wydawnictwo C. H. Beck, Warszawa 2012, ss. 109-124.
  266. Owsiński J.: How can we read out life quality assessments from the official socio-economic data on Polish municipalities? PRACE NAUKOWE UNIWERSYTETU EKONOMICZNEGO WE WROCŁAWIU, vol. 2009, No. 73, 2010, ss. 50-63, 11 poz. bibl.
  267. Owsiński J.: Machine-part grouping and cluster analysis: similarities, distances and grouping criteria. BULLETIN OF THE POLISH ACADEMY OF SCIENCES: TECHNICAL SCIENCES, vol. 57, No. 3, 2009, ss. 217-228, 53 poz. bibl.
  268. Owsiński J.: On a bi-partial version of k-means. In: European Conference on Data Analysis 2013. Book of Abstracts, Luksemburg, 12-14.07.2013, University of Luxembourg, ss. 133-134.
  269. Owsiński J.: On a two-stage clustering procedure and the choice of objective function. In: Computer Data Analysis and Modeling: Complex Stochastic Data and Systems. Proc. of the 9th International Conference, Minsk, September 7-11, 2010, Mińsk, Białoruś, 7-11 września 2010, Publishing center of BSU, ss. 157-165.
  270. Owsiński J.: On dividing an empirical distribution into optimal segments. In: http://meetings.sis-statistica.org/index.php/sm/sm2012, Rzym, 19-22.06.2012, SIS, ss. 1-8.
  271. Owsiński J.: On the optimal division of an empirical distribution (and some related problems). PRZEGLĄD STATYSTYCZNY, vol. 2012, No. specjalny, 2013, ss. 109-122, 8 poz. bibl.
  272. Owsiński J.: Polish rural municipalities: can we say what do people do there on the basis of the official data? In: Julia Neuwirth, Klaus Wagner (Eds.): Multifunctional Territories: Importance of Rural Areas beyond Food Production. ERDN, IERiGŻ, AWI, Warszawa 2009, ss. 187-206, 3 poz. bibl. Seria: Rural Areas and Development.
  273. Owsiński J.: The bi-partial approach in clustering and ordering: the model and the algorithms. STATISTICA E APPLICAZIONI, vol. 2011, No. Special, 2011, ss. 43-59, 8 poz. bibl.
  274. Owsiński J.: The institutionalised corruption of the real socialist system:. JOURNAL OF ORGANISATIONAL TRANSFORMATION & SOCIAL CHANGE, vol. 7, No. 2, 2010, ss. 151-165, 23 poz. bibl.
  275. Owsiński J.: Wybrane zagadnienia: stan badań i istniejące wyniki. W: J. W. Owsiński (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. IBS PAN, Warszawa 2010, ss. 7-26, 65 poz. bibl. Seria: Badania Systemowe.
  276. Pałka P., Radziszewska W., Nahorski Z.: Application of an auction algorithm in an agent-based power balancing system. In: NEW TRENDS IN DATABASES AND INFORMATION SYSTEMS Book Series: Advances in Intelligent Systems and Computing Volume: 185, ss. 231-240.
  277. Pałka P., Radziszewska W., Nahorski Z.: Balancing Electric Power in a Microgrid via Programmable Agents Auctions. CONTROL AND CYBERNETICS, vol. 41, No. 4, 2012, ss. 777-798, 27 poz. bibl.
  278. Park B., Oh S., Pedrycz W.: The design of polynomial function-based neural network predictors for detection of software defects. INFORMATION SCIENCES, vol. 229, 2013, ss. 40-57, 38 poz. bibl.
  279. Park B., Pedrycz W., Oh S.: A Design of Genetically Oriented Fuzzy Relation Neural Networks (FrNNs) Based on the FuzzyPolynomial Inference Scheme. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 17, No. 6, 2010, ss. 1310-1323, 34 poz. bibl.
  280. Park H., Chung Y., Oh S., Pedrycz W., Kim H.: Design of information-granule-oriented RBF neural networks and its application to power supply for high-field magnet. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, vol. 24, 2011, ss. 543-554.
  281. Park H., Pedrycz W., Chung Y., Oh S.: Modeling of the charging characteristic of linear-type superconducting power supply using granular-based radial basis function neural networks. EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, No. 1, 2012, ss. 1021-1039.
  282. Park H., Pedrycz W., Oh S.: Granular neural networks and their development through context-based clustering and adjustable. IEEE TRANSACTIONS ON NEURAL NETWORKS, vol. 20, No. 10, 2009, ss. 1604-1616, 41 poz. bibl.
  283. Park K., Oh S., Pedrycz W.: Design of Interval Type-2 Fuzzy Neural Networks and Their Optimization Using Real-coded Genetic Algorithms. In: Proceedings of the conference: FUZZ-IEEE2009, 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, August 20-24, 2009, ss. 2013-2018.
  284. Parol M., Wasilewski J., Wójtowicz T., Nahorski Z.: Low voltage microgrid in a research and educational center. In: Conference ELEN 2012 (wyd. elektroniczne), Prague, 11-12 September 2012, CTU in Prague, Faculty of Electrical Engineering, ss. 1-15.
  285. Paternain D., Jurio A., Barrenechea E., Bustince H., Bedregal B., Szmidt E.: An alternative to fuzzy methods in decision-making. EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, 2012, ss. 7729-7735, 34 poz. bibl.
  286. Paternain D., Jurio A., Barrenechea E., Bustince H., Bedregal B., Szmidt E.: Weighted Voting Method Using Atanassov’s Intuitionistic Fuzzy Preference Relations and Ignorance Functions. In: Proc. 7th conf. European Society for Fuzzy Logic and Technology, Aix-Les-Bains, Francja, 18-22 lipca 2011, Atlantic Press, ss. 514-520.
  287. Pedrycz A., Hirota K., Pedrycz W., Dong F.: Granular representation and granular computing with fuzzy sets. FUZZY SETS AND SYSTEMS, vol. 203, 2012, ss. 17-32.
  288. Pedrycz W., Ahmad S.: Evolutionary feature selection via structure retention. EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, 2012, ss. 11801-11807, 45 poz. bibl.
  289. Pedrycz W., Al-Hmouz R., Morfeq A., Balamash A.: The design of free structure granular mappings: the use of the principle of justifiable granularity. IEEE TRANSACTIONS ON CYBERNETICS, vol. 43, No. 6, 2013, ss. 2105-2113, 26 poz. bibl.
  290. Pedrycz W., Aliev R.: Logic-oriented neural networks for fuzzy neurocomputing. NEUROCOMPUTING, vol. 73, No. 1-3, 2009 [druk w 2012 roku], ss. 10-23, 31 poz. bibl.
  291. Pedrycz W., Bargieła A.: An optimization of allocation of information granularity in the interpretation of data structures: towards granular fuzzy clustering. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 42, No. 3, 2012, ss. 582-591, 35 poz. bibl.
  292. Pedrycz W., Bargieła A.: Fuzzy clustering with semantically distinct families of variables: Descriptive and predictive aspects. PATTERN RECOGNITION LETTERS, vol. 31, No. 13, 2010, ss. 1952-1958.
  293. Pedrycz W., Berezowski J., Jamal I.: A Granular Description of Data: A Study in Evolvable Systems. In: M. Sayed-Mouchaweh and E. Lughofer (Eds.): Learning in Non-Stationary Environments: Methods and Applications. Springer Science+Business Media, New York 2012, ss. 57-75.
  294. Pedrycz W., Chen S., Rubin S., Lee G.: Risk evaluation through decision-support architectures in threat assessment and countering terrorism. APPLIED SOFT COMPUTING, vol. 11, 2011, ss. 621-631.
  295. Pedrycz W., Homenda W.: Building the fundamentals of granular computing: a principle of justifiable granularity. APPLIED SOFT COMPUTING, vol. 13, 2013, ss. 4209-4218, 25 poz. bibl.
  296. Pedrycz W., Kacprzyk J., Zadrożny S.: Towards a New Generation of Indicators for Consensus Reaching Support Using Type-2 Fuzzy Sets. In: Computational Intelligence for Knowledge-Based Systems Design, Dortmund, Niemcy, 28 czerwca - 2 lipca 2010, Springer, ss. 241-250.
  297. Pedrycz W., Liu X., Chai T., Song M.: The development of fuzzy rough sets with the use of structures and algebras of axiomatic fuzzy sets. IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, vol. 21, No. 3, 2009, ss. 443-462, 43 poz. bibl.
  298. Pedrycz W., Loia V., Senatore S.: Fuzzy Clustering With Viewpoints. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 18, No. 2, 2010, ss. 274-284, 18 poz. bibl.
  299. Pedrycz W., Oh S., Kim W., Park B.: A design of granular-oriented self-organizing hybrid fuzzy polynomial neural networks. NEUROCOMPUTING, vol. 119, No. 119, 2013, ss. 292-307, 27 poz. bibl.
  300. Pedrycz W., Rai P.: A multifaceted perspective at data analysis; a study in collaborative intelligent agents. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 39, No. 4, 2009, ss. 834-844, 21 poz. bibl.
  301. Pedrycz W., Rai P.: Experience-consistent modeling: regression and classification problems. AUTOMATICA, vol. 45, No. 2, 2009, ss. 449-455, 21 poz. bibl.
  302. Pedrycz W., Russo B., Succi G.: Knowledge transfer in system modeling and its realization through an optimal allocation of information granularity. APPLIED SOFT COMPUTING, vol. 12, 2012, ss. 1985-1995, 34 poz. bibl.
  303. Pedrycz W., Song M.: A genetic reduction of feature space in the design of fuzzy models. APPLIED SOFT COMPUTING, vol. 12, 2012, ss. 2801-2816.
  304. Pedrycz W., Song M.: Analytic Hierarchy Process (AHP) in Group Decision Making and its Optimization with an Allocation of Information Granularity. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 19, No. 3, 2011, ss. 527-539.
  305. Pedrycz W., Song M.: Granular fuzzy models: a study in knowledghe management in fuzzy modeling. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 53, No. 7, 2012, ss. 1061-1079, 25 poz. bibl.
  306. Pedrycz W., Yang L., Ha M.: On the fundamental convergence in the (C) mean in problems of information fusion. JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, vol. 358, No. 2, 2009, ss. 203-222, 35 poz. bibl.
  307. Pedrycz W.: Collaborative and Experience-Consistent Schemes of System Modelling in Computational Intelligence. In: C.L. Mumford, L.C. Jain (Eds.): Computational Intelligence. Springer-Verlag, Heidelberg 2010, ss. 697-723, 27 poz. bibl. Seria: Intelligent Systems Reference Library.
  308. Pedrycz W.: From Fuzzy Rule-Based Systems to Granular Fuzzy Rule-Based Systems: A Study in Granular Computing. In: Enric Trillas, Piero P. Bonissone, Luis Magdalena, Janusz Kacprzyk (Eds.): Combining Experimentation and Theory - A Hommage to Abe Mamdani. Springer, 2012, ss. 151-162 Seria: Studies in Fuzziness and Soft Computing.
  309. Pedrycz W.: From fuzzy sets to shadowed sets: interpretation and computing. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 24, No. 1, 2009, ss. 48-61, 16 poz. bibl.
  310. Pedrycz W.: Granular Fuzzy Models: At the Junction of Fuzzy Modeling and Knowledge Management. In: Proceedings of the conference: World Conference on Soft Computing, San Francisco, CA, USA, 23/05/2011-26/05/2011, ss. 1-5.
  311. Pedrycz W.: Human Centricity and Perception-Based Perspective of Architectures of Granular Computing. W: Young Scientists Toward the Challenges of Modern Technology, Warsaw, Poland, 19-22.9.2011, ss. 1-6.
  312. Pedrycz W.: Human centricity in computing with fuzzy sets: an interpretability quest for higher order granular constructs. JOURNAL OF AMBIENT INTELLIGENCE AND HUMANIZED COMPUTING, vol. 1, No. 1, 2010, ss. 65-74, 19 poz. bibl.
  313. Pedrycz W.: Information granules and their use in schemes of knowledge management. SCIENTIA IRANICA, vol. 18, No. 3, 2011, ss. 602-610.
  314. Pedrycz W.: Knowledge-Oriented and Distributed Unsupervised Learning for Concept Elicitation. In: Koronacki J., Raś Z.W., Wierzchoń S.T., Kacprzyk J. (Eds.): Advances in Machine Learning II. Springer-Verlag, Heidelberg 2010, ss. 3-21, 30 poz. bibl. Seria: Studies in Computational Intelligence.
  315. Pedrycz W.: Proximity-based clustering: a search for structural consistency in data with semantic blocks of features. IEEE TRANSACTIONS ON FUZZY SYSTEMS, vol. 21, No. 5, 2013, ss. 978-982, 17 poz. bibl.
  316. Pedrycz W.: The design of cognitive maps: A study in synergy of granular computing and evolutionary optimization. EXPERT SYSTEMS WITH APPLICATIONS, vol. 37, 2010, ss. 7288-7294, 22 poz. bibl.
  317. Pedrycz W.: Towards Designing Human Centric Systems: A New View at Fuzzy Modeling with Granular Membership Functions. In: ROUGH SETS AND KNOWLEDGE TECHNOLOGY, Banff, CANADA, October 08-11, 2011, [druk w 2012 roku] Springer-Verlag, ss. 3-24.
  318. Pielak A., Owsiński J.: Jakość i dynamika rozwoju stron internetowych samorządów lokalnych Mazowsza a przestrzeń wiejska. W: J. W. Owsiński (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. IBS PAN, Warszawa 2010, ss. 147-173, 10 poz. bibl. Seria: Badania Systemowe.
  319. Pina N., Kacprzyk J., Filipe J. (Eds.): Simulation and modeling methodologies, technologies and applications (SIMULTECH 2011). Springer-Verlag, Berlin, Heidelberg 2013, 286 s. Seria: Advances in Intelligent Systems and Computing.
  320. Potrzebowski H., Sęp K., Stańczak J.: Heurystyczne i ewolucyjne metody znajdowania pokrycia grafu, korzystające z pojęcia alfa-kliki i innych ograniczeń. W: J. W. Owsiński (Red.): Analiza systemów przestrzennych. Wybrane zagadnienia. IBS PAN, Warszawa 2010, ss. 115-146, 36 poz. bibl. Seria: Badania Systemowe.
  321. Radziszewska W., Nahorski Z.: Generation of inputs to renewable energy sources using matched-block bootstrap approach with fitness proportionate selection. In: Proceedings of the 27th Conference on Environmental Informatics, Hamburg, Germany, 2-4 September 2013, Shaker Verlag, ss. 727-735.
  322. Radziszewska W., Nahorski Z.: Simulation of energy consumption in a microgrid for demand side management by scheduling. In: Proceedings of the 2013 Federated Conference on Computer Science and Information Systems, Kraków, 8 - 11 September, 2013, Polskie Towarzystwo Informatyczne, ss. 679-682.
  323. Rai P., Pedrycz W.: Experience-Consistent Fuzzy Rule-Based System Modeling. INTERNATIONAL JOURNAL OF GRID AND DISTRIBUTED COMPUTING, vol. 4, No. 1, 2011, ss. 1-30.
  324. Ramli A., Pedrycz W., Watada J., Arbaiy N.: A Real-Time Analysis of Granular Information: Some Initial Thoughts on a Convex Hull-based Fuzzy Regression Approach. In: Proceedings of FUZZ-IEEE'2011, Taipei, Taiwan, 27-30.06.2011, IEEE CIS Press, ss. 2851-2858.
  325. Ramli A., Watada J., Pedrycz W.: New Perspectives and Applications of Real-Time Fuzzy Regression. In: Proceedings of the conference: FUZZ-IEEE2009, 2009 IEEE International Conference on Fuzzy Systems, Jeju Island, Korea, August 20-24, 2009, ss. 1451-1456.
  326. Ramli A., Watada J., Pedrycz W.: Possibilistic Regression Analysis of Influential Factors in the Planning. In: Proceedings of the conference: 2010 IEEE World Congress on Computational Intelligence, Barcelona, lipiec 2010, IEEE CIS Press, ss. 2581-2588.
  327. Roh S., Ahn T., Pedrycz W.: Fuzzy linear regression based on Polynomial Neural Networks. EXPERT SYSTEMS WITH APPLICATIONS, vol. 39, 2012, ss. 8909-8928.
  328. Roh S., Oh S., Pedrycz W.: A fuzzy ensemble of parallel polynomial neural networks with information granules formed by fuzzy clustering. KNOWLEDGE-BASED SYSTEMS, vol. 23, No. 3, 2010, ss. 202-219, 36 poz. bibl.
  329. Roh S., Oh S., Pedrycz W.: Design of fuzzy radial basis function-based polynomial neural networks. FUZZY SETS AND SYSTEMS, vol. 185, No. 1, 2011, ss. 15-37.
  330. Roh S., Pedrycz W., Oh S., Joo S.: The development of fuzzy radial basis function neural networks based on the concept of information ambiguity. NEUROCOMPUTING, vol. 73, No. 13-15, 2010, ss. 2464-2477, 14 poz. bibl.
  331. Rudas I., Fodor J., Kacprzyk J. (Eds.): Computational intelligence and informatics. Principles and practice. Springer-Verlag, Heidelberg and New York 2010, 350 s., 300 poz. bibl. Seria: Studies in Computational Intelligence.
  332. Rudas I., Fodor J., Kacprzyk J. (Eds.): Towards intelligent engineering and information technology. Springer-Verlag, Heidelberg 2009, 736 s., 400 poz. bibl. Seria: Studies in computational intelligence.
  333. Rutkowska D., Kacprzyk J., Cader A., Przybyszewski K. (Red.): Some new ideas and research results in computer science. Akademicka Oficyna Wydawnicza EXIT, Warszawa 2010, 350 s., 250 poz. bibl.
  334. Sengupta S., Das S., Nasir M., Vasilakos A. .., Pedrycz W.: Energy-Efficient Differentiated Coverage of Dynamic Objects using an Improved Evolutionary Multi-objective optimization Algorithm with Fuzzy-Dominance. In: Proceedings of the conference: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, IEEE, ss. NULL-NULL.
  335. Sgurev V., Hadjisky M., Kacprzyk J. (Eds.): Intelligent systems: from theory to practice. Springer-Verlag, Heidelberg and New York 2010, 550 s., 400 poz. bibl. Seria: Studies in Computational Intelligence.
  336. Shannon A., Orozova D., Sotirova E., Hristova M., Atanassov K., Krawczak M., Melo-Pinto P., Nikolov R., Sotirov S., Kim T.: Towards a model of thedigital university: a generalized net model for producing course timetables and for evaluating the quality of subjects. In: V. Sgurev, M. Hadjiski (Eds.): Intelligent Systems: From Theory to Practice, SCI 299. Springer-Verlag, Heidelberg 2010, ss. 373-381, 17 poz. bibl. Seria: SCI.
  337. Shanon A., Sotirova E., Szmidt E., Kacprzyk J., Atanassov K., Kim T.: Intuitionistic fuzzy estimations of students’ team forming. In: Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets. WSISiZ, Warszawa 2011, ss. 77-83, 18 poz. bibl.
  338. Snasel V., Szczepaniak P., Abraham A., Kacprzyk J. (Eds.): Advances in intelligent web mastering - 2. Springer-Verlag, Heidelberg and New York 2010, 246 s., 200 poz. bibl. Seria: Advances in Intelligent and Soft Computing.
  339. Sotirov S., Krawczak M.: Generalized net model for parallel optimization of multilayer perceptron with conjugate gradient backpropagation algorithm. In: Atanassov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Systems Research Institute PAS, Warsaw 2012, ss. 179-190, 21 poz. bibl.
  340. Sotirov S., Krawczak M.: Modelling a layered digital dynamic network by a generalized net. In: Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets, Vol. 5. Wydawnictwo WIT, Warszawa 2007 [druk w 2011 roku], ss. 84-91, 12 poz. bibl.
  341. Sotirov S., Sotirova E., Krawczak M.: Application of data mining in digital univeristy: multilayer perceptron for lecturer's evaluation with intuitionistic fuzzy estimations. In: K. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt (Eds.): Issues i intuitionistic fuzzy sets and generalized nets, Volume 8. WSISiZ, Warszawa 2010, ss. 102-108, 13 poz. bibl. Seria: Issues i intuitionistic fuzzy sets and generalized nets.
  342. Stańczak J., Bartoszczuk P.: CO2 emission trading model with trading prices. CLIMATIC CHANGE, vol. 2010, No. 103, 2010, ss. 291-301, 13 poz. bibl.
  343. Stańczak J., Bartoszczuk P.: CO2 emission trading model with trading prices. In: T. White, M. Jonas, Z. Nahorski, S. Nilsson (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, ss. 291-301, 30 poz. bibl.
  344. Stańczak J., Holnicki-Szulc P.: Application of evolutionary technique in long-term analysis of emission reduction on a regional scale. In: A. Gnauck (Ed.): Modellierung und Simulation von Oekosystemen. Shaker Verlag, Aachen 2008 [druk w 2009 roku], ss. 109-125, 13 poz. bibl.
  345. Stańczak J., Pałka P., Nahorski Z.: Artificial intelligence methods in the CO2 permission market simulation. In: A. Gnauck (Ed.): Modellierung und Simulation von Oekosystemen'2011. Shaker Verlag, Aachen 2011, ss. 185-205, 18 poz. bibl. Seria: Umweltinformatik.
  346. Stańczak J., Potrzebowski H., Sęp K.: Evolutionary approach to obtain graph covering by densely connected subgraphs. CONTROL AND CYBERNETICS, vol. 41, No. 3, 2011, ss. 849-876, 35 poz. bibl.
  347. Stańczak J.: Agent-based evolutionary method of simulation the CO2 emission permits market. FOUNDATIONS OF COMPUTING AND DECISION SCIENCES, vol. 38, No. 4, 2013, ss. 251-265, 16 poz. bibl.
  348. Stańczak J.: Agent-based evolutionary method of simulation the CO2 emission permits market. W: "Badania Operacyjne i Systemowe 2012" - nowe wyzwania, nowe technologie - materiały konferencyjne (CD), Warszawa, 17-19.09.2012, IBS PAN, ss. 1-15.
  349. Stańczak J.: Application of an evolutionary algorithm to simulationof the CO2 emission premits market with purchase prices. BADANIA OPERACYJNE I DECYZJE, vol. 4, No. 2009, 2009 [druk w 2010 roku], ss. 93-108, 15 poz. bibl.
  350. Stańczak J.: Evolutionary algorithm for market simulations. W: Jarosław Arabas (Red.): Evolutionary Computation and Global Optimization 2009. Oficyna Wydawnicza Politechniki Warszawskiej, Warszawa 2009, ss. 163-172, 14 poz. bibl. Seria: Prace Naukowe - Elektronika.
  351. Stańczak J.: Symulacja handlu pozwoleniami na emisje z wykorzystaniem modelu dla systemu wieloagentowego. STUDIA I MATERIAŁY POLSKIEGO STOWARZYSZENIA ZARZĄDZANIA WIEDZĄ, No. 33, 2010, ss. 170-180, 9 poz. bibl.
  352. Szewczyk R., Piwi ński J., Kłoda R., Missala T., Kacprzyk J., Tomasik J., Woźniak A., Salach J., Iwasińska-Kowalska O., Winiarski W., Szmidt E., Komorowska M., Zadrożny S., Rzeplińska-Rykała K. (Red.): Foresight priorytetowych, innowacyjnych technologii na rzecz automatyki, robotyki i techniki pomiarowej Badanie metodą Delficką. PIAP - Przemysłowy Instytut Automatyki i Pomiarów, Warszawa 2010, 171 s.
  353. Szewczyk R., Piwi ński J., Missala T., Kacprzyk J., Tomasik J., Salach J., Woźniak A., Iwasińska-Kowalska O., Winiarski W., Szmidt E., Komorowska M., Zadrożny S., Rzeplińska-Rykała K., Kłoda R. (Red.): Foresight priorytetowych, innowacyjnych technologii na rzecz automatyki, robotyki. Krzyżowa analiza wpływów. PIAP - Przemysłowy Instytut Automatyki i Pomiarów, Warszawa 2010, 90 s.
  354. Szmidt E., Kacprzyk J., Atanassov K.: Intuitionistic fuzzy modifications of some Peneva–Popchev formulas for estimation of preference degree. Part I. In: Atanassov K., Kacprzyk J., Krawczak M., Szmidt E. (Eds.): Issues in Intuitionistic Fuzzy Sets and Generalized Nets,. WSISiZ, Warszawa 2013, ss. 12-20, 3 poz. bibl.
  355. Szmidt E., Kacprzyk J., Bujnowski P.: Advances in Principal Component Analysis for Intuitionistic Fuzzy Data Sets. In: Methodology, models, applications in emerging technologies, Sofia, Bułgaria , September 6-8, 2012, IEEE, ss. 194-199.
  356. Szmidt E., Kacprzyk J., Bujnowski P.: An experimental analysis of some measures of information and knowledge for intuitionistic fuzzy sets. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 18, No. 3, 2012, ss. 39-48, 30 poz. bibl.
  357. Szmidt E., Kacprzyk J., Bujnowski P.: Correlation between Intuitionistic Fuzzy Sets: Some Conceptual and Numerical Extensions. In: Proceedings of the conference: WCCI 2012 IEEE World Congress on Computational Intelligence, Brisbane, Australia, June, 10-15, 2012, IEEE, ss. 480-486.
  358. Szmidt E., Kacprzyk J., Bujnowski P.: Measuring Information and Knowledge in the Context of Atanassov's Intuitionistic Fuzzy Set. In: Proc. of the 10th International Conference on Intelligent Systems Design and Applications, Cairo, Egypt , November 29 - December 1, 2010, ss. 702-707.
  359. Szmidt E., Kacprzyk J., Bujnowski P.: Measuring the Amount of Knowledge for Atanassov's Intuitionistic Fuzzy Sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6857, No. 6857, 2011, ss. 17-24, 28 poz. bibl.
  360. Szmidt E., Kacprzyk J., Bujnowski P.: On some measures of information and knowledge for intuitionistic fuzzy sets. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 16, No. 2, 2010, ss. 1-11, 25 poz. bibl.
  361. Szmidt E., Kacprzyk J., Bujnowski P.: Pearson's coefficient between intuitionistic fuzzy sets. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 17, No. 2, 2011, ss. 25-34, 39 poz. bibl.
  362. Szmidt E., Kacprzyk J., Bujnowski P.: Pearson's Correlation Coefficient between Intuitionistic Fuzzy Sets: an Extended Theoretical and Numerical Analysis. In: K. T. Atanassov, W. Homenda, O. Hryniewicz, J. Kacprzyk, M. Krawczak, Z. Nahorski, E. Szmidt, S. Zadrożny (Eds.): Recent Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Systems Research Institute Polish Academy of Sciences, Warszawa 2012 [druk w 2011 roku], ss. 223-236, 41 poz. bibl. Seria: Applications.
  363. Szmidt E., Kacprzyk J., Bujnowski P.: The Kendall Rank Correlation between Intuitionistic Fuzzy Sets: An Extended Analysis. In: R. Yager, A.M. Abbasov, M. reformat, S.N. Shahbazova (Eds.): Soft Computing: State of the Art Theory and Novel Applications. Springer, New York 2013 [druk w 2012 roku], ss. 39-54, 46 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  364. Szmidt E., Kacprzyk J., Kukier M.: An extended numerical analysis of an intuitionistic fuzzy classifier for imbalanced classes. In: Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting, Edmonton, Canada, Jule 24-28 2013, ss. 7-12.
  365. Szmidt E., Kacprzyk J., Kukier M.: An extended numerical analysis of an intuitionistic fuzzy classifier for imbalanced classes. In: Proceedings of the 2013 Joint IFSA World Congress, NAFIPS Annual Meeting, Edmonton, Canada, Jule 24-28 2013, ss. 7-12.
  366. Szmidt E., Kacprzyk J., Kukier M.: Intuitionistic fuzzy classifier for imbalanced classes. W: Rutkowski L., Korytkowski M., Scherer R., Tadeusiewicz R., Zadeh L., Żurada J. (Red.): Artificial Intelligence and Soft Computing. Springer, Berlin Heidelberg 2013, ss. 483-492, 41 poz. bibl. Seria: LNAI.
  367. Szmidt E., Kacprzyk J.: A method for ranking alternatives expressed via Atanassov's intuitionistic fuzzy sets. In: Atanassov, K., T., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrożny, S. (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. Academic Publishing House EXIT, Warsaw 2008 [druk w 2009 roku], ss. 161-173, 26 poz. bibl. Seria: Challenging Problems of Science - Computer Science.
  368. Szmidt E., Kacprzyk J.: A New Approach to Principal Component Analysis for Intuitionistic Fuzzy Data Sets. In: Greco et al. (Ed.): Advances in Computational Intelligence. Springer, Berlin Heidelberg 2012, ss. 529-538, 39 poz. bibl. Seria: CCIS.
  369. Szmidt E., Kacprzyk J.: A note on the Hausdorff distance between Atanassov's intuitionistic fuzzy sets. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 15, No. 1, 2009, ss. 1-12.
  370. Szmidt E., Kacprzyk J.: Amount of Information and its Reliability in the Ranking of Atanassov's Intuitionistic Fuzzy Alternatives. In: E. Rakus-Andersson, R. Yager, N. Ichalkaranje, L. Jain (Eds.): Recent Advances in Decision Making. Springer, Berlin Heidelberg 2009, ss. 7-19, 35 poz. bibl. Seria: Studies in Computational Intelligence.
  371. Szmidt E., Kacprzyk J.: Analysis of similarity measures for Atanassov's intuitionistic fuzzy sets. In: Proceedings IFSA/EUSFLAT 2009, Lizbona, Portugalia, 20-24 lipca 2009, ss. 1416-1421.
  372. Szmidt E., Kacprzyk J.: Correlation of Intuitionistic Fuzzy Sets. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6178, 2010, ss. 169-177, 33 poz. bibl.
  373. Szmidt E., Kacprzyk J.: Dealing with typical values via Atanassov's intuitionistic fuzzy sets. INTERNATIONAL JOURNAL OF GENERAL SYSTEMS, vol. 39, No. 5, 2010, ss. 489-596.
  374. Szmidt E., Kacprzyk J.: Geometric similarity measures for the intuitionistic fuzzy sets. In: Proceedings of the 8th conference of the European Society for Fuzzy Logic and Technology (EUSFLAT-13), University of Milano-Bicocca, Milan, Italy, September 11-13, 2013, Atlantis Press, ss. 840-847.
  375. Szmidt E., Kacprzyk J.: Intuitionistic fuzzy sets -- two and three term representations in the context of a Hausdorff distance. ACTA UNIVERSITATIS MATTHIAE BELII, SERIES MATHEMATICS, AVAILABLE AT HTTP://ACTAMTH.SAVBB.SK, vol. 19, No. 19, 2011, ss. 53-62, 45 poz. bibl.
  376. Szmidt E., Kacprzyk J.: On an enhanced Method for a More Meaningful Pearson's Correlation Coefficient Between Intuitionistic Fuzzy Sets. LECTURE NOTES IN COMPUTER SCIENCE, vol. 7267, 2012, ss. 334-341.
  377. Szmidt E., Kacprzyk J.: On an Enhanced Method for a More Meaningful Ranking of Intuitionistic Fuzzy Alternatives. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6113, 2010, ss. 232-239, 28 poz. bibl.
  378. Szmidt E., Kacprzyk J.: On the Hamming-metric based Hausdorff Distance for Intuitionistic Fuzzy Sets and Interval-valued Fuzzy Sets. In: Atanasov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Developments in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. SRI PAS, Warszawa 2010, ss. 209-223, 46 poz. bibl.
  379. Szmidt E., Kacprzyk J.: Ranking of intuitionistic fuzzy alternatives in a multi-criteria decision making poblem. In: Proceedings of the conference: Annual Meeting of the North-American-Fuzzy-Information-Processing Society (NAFIPS 2009), Cincinnati, USA, June 14- 17, 2009, IEEE, ISBN: 978-1-4244-4577-6, ss. CD-NULL.
  380. Szmidt E., Kacprzyk J.: Some remarks on the Hausdorff distance between Atanassov's intuitionistic fuzzy sets. In: EUROFUSE WORKSHOP'09. Preference Modelling and Decision Analysis, Pamplona (Spain), 16-18.09.2009, Public University of Navarra, ss. 311-316.
  381. Szmidt E., Kacprzyk J.: The Kendall Rank Correlation between Intuitionistic Fuzzy Sets. In: Proceedings of the conference: World Conference on Soft Computing, San Francisco, CA, USA, 23/05/2011-26/05/2011, ss. NULL-NULL.
  382. Szmidt E., Kacprzyk J.: The Spearman and Kendall rank correlation coefficients between intuitionistic fuzzy sets. In: Proc. 7th conf. European Society for Fuzzy Logic and Technology, Aix-Les-Bains, Francja, 18-22 lipca 2011, Atlantic Press, ss. 521-528.
  383. Szmidt E., Kacprzyk J.: The Spearman rank correlation coefficient between intuitionistic fuzzy sets. In: Proceedings of the conference: 2010 IEEE International Conference on Intelligent Systems, London, UK, July 7-9 2010, ss. 276-280.
  384. Szmidt E., Kreinovich V.: Symmetry between true, false, and uncertain: An explanation. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 15, No. 4, 2009, ss. 1-8, 12 poz. bibl.
  385. Szmidt E., Kukier M.: Intuitionistic fuzzy classifier - a tool for recognizing imbalanced classes. In: Atanassov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): New Developments in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Systems Research Institute PAS, Warsaw 2012, ss. 287-296, 40 poz. bibl.
  386. Szmidt E.: Distances and similarities in intuitionistic fuzzy sets. Springer-Verlag, Heidelberg New York 2013, 148 s., 265 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  387. Szymczak M., Bronselaer A., Zadrożny S., De Tre G.: Dynamical construction of binary relations in coreference detection. In: Proceedings of the conference: 2012 Annual Meeting of the North American Fuzzy Information Processing Society (NAFIPS 2012), Berkeley, CA, August 6-8, 2012, ss. NULL-NULL.
  388. Tainio M., Kukkonen J., Nahorski Z.: Impact of airborne particulate matter on human health: an assessment framework to estimate exposure and adverse health effects in Poland. ARCHIVES OF ENVIRONMENTAL PROTECTION, vol. 36, No. 1, 2010, ss. 95-115, 81 poz. bibl.
  389. Todorova L., Vassiliev P., Szmidt E., Hadjitodorov S.: Spatial interpretation of operators over Intuitionistic Fuzzy Sets. In: K. Atanassov, J. Kacprzyk, M. Krawczak, E. Szmidt (Eds.): Issues i intuitionistic fuzzy sets and generalized nets, Volume 8. WSISiZ, Warszawa 2010, ss. 8-18, 17 poz. bibl. Seria: Issues i intuitionistic fuzzy sets and generalized nets.
  390. Topylko P., Lesiv M., Bun R., Nahorski Z., Horabik J.: Geoinformation technology for spatial inventory of greenhouse gas emissions: electricity and heat generation in Poland. ECONTECHMOD. AN INTERNATIONAL QUARTERLY JOURNAL ON ECONOMICS OF TECHNOLOGY AND MODELLING PROCESSES, vol. 2, No. 2, 2013, ss. 51-58, 23 poz. bibl.
  391. Trillas E., Bonissone P., Magdalena L., Kacprzyk J. (Eds.): Combining experimentation and theory. Springer-Verlag, Heidelberg and New York 2012, 422 s., 300 poz. bibl.
  392. Tzvetkov R., Szmidt E., Kacprzyk J.: A new similarity measure and new distances for intuitionistic fuzzy sets. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 15, No. 4, 2009, ss. 33-39, 27 poz. bibl.
  393. Tzvetkov R., Szmidt E., Kacprzyk J.: On Some Issues Related to the Distances between Atanassov Intuitionistic Fuzzy Sets. CYBERNETICS AND INFORMATION TECHNOLOGIES, vol. 9, No. 2, 2009, ss. 54-61, 28 poz. bibl.
  394. Tzvetkov R., Szmidt E., Kacprzyk J.: On some issues related to the distances between the Atanassov intuitionistic fuzzy sets described on universe with weights. NOTES ON INTUITIONISTIC FUZZY SETS, vol. 16, No. 2, 2010, ss. 22-30, 28 poz. bibl.
  395. Unger H., Kyamakya K., Kacprzyk J. (Eds.): Autonomous Systems: Developments and Trends. Springer-Verlag, Heidelberg and New York 2012 [druk w 2011 roku], 406 s., 250 poz. bibl. Seria: Studies in Computational Intelligence.
  396. Wang S., Watada J., Pedrycz W.: Recourse-Based Facility-Location Problems in Hybrid Uncertain Environment. IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS, vol. 40, No. 4, 2010, ss. 1176-1187, 46 poz. bibl.
  397. Wasilewski J., Parol M., Wójtowicz T., Nahorski Z.: A Microgrid Structure Supplying a Research and Education Centre - Polish Case. In: Proceedings of the 3rd IEEE PES Innovative Smart Grid Technologies Europe Conference, Berlin, ss. 1-8.
  398. White T., Jonas M., Nahorski Z., Nilsson S. (Eds.): Greenhouse Gas Inventories: Dealing with Uncertainty. Springer-Verlag, Dordrecht Heildelberg 2011, 260 s., 1 poz. bibl.
  399. Wilbik A., Kacprzyk J.: A multi-criteria evaluation of linguistic summaries of time series via a measure of informativeness. LECTURE NOTES IN ARTIFICIAL INTELLIGENCE, vol. 6113, 2010, ss. 105-113.
  400. Wilbik A., Kacprzyk J.: Evaluation of temporal linguistic summaries via degree of appropriatness. In: Danuta Rutkowska, Andrzej Cader, Krzysztof Przybyszewski (Eds.): Selected Topics in Computer Science Applications. Academic Publishing House EXIT, Warszawa 2011, ss. 139-150, 19 poz. bibl.
  401. Wilbik A., Kacprzyk J.: Generation of linguistic data summaries of time series against multiple criteria. In: Proceedings of 2011 IFSA World Congress AFSS International Conference, Surabaya i Bali, Indonezja, 21-25.06.2011, ss. NULL-NULL.
  402. Wilbik A., Kacprzyk J.: LINGUISTIC SUMMARIES FOR THE COMPARISON OF TIME SERIES: AN APPLICATION TO THE ANALYSIS OF INVESTMENT FUND QUOTATIONS. In: Wilmowska Z., Borzemski L., Grzech A., Świątek J. (Eds.): Information Systems Architecture and Technology. Wrocław University of Technology, Wrocław 2009, ss. 139-148, 28 poz. bibl. Seria: Library of Informatics of University Level Schools.
  403. Wilbik A., Kacprzyk J.: On a benchmark related assessment of the performance of mutual (investment) funds. In: Proceedings of FUZZ-IEEE'2011, Taipei, Taiwan, 27-30.06.2011, IEEE CIS Press, ss. 2934-2939.
  404. Wilbik A., Kacprzyk J.: On some issues of the measure of the length of the summary in linguistic data summaries. In: Atanassov K.T., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Advances in Fuzzy Sets, Intuitionistic Fuzzy Sets, Generalized Nets and Related Topics. Ac. Publ. House EXIT, Warsaw 2008 [druk w 2009 roku], ss. 175-185, 19 poz. bibl. Seria: CHALLENGING PROBLEMS OF SCIENCE. COMPUTER SCIENCE.
  405. Wilbik A., Kacprzyk J.: On the evaluation of the linguistic summarization of temporally focused time series using a measure of informativeness. In: Proceedings of the International Multiconference on Computer Science and Information Technology, Wisła, 18-20, pażdziernik 2010, IEEE Computer Society Press, ss. 155-162.
  406. Wilbik A., Kacprzyk J.: Temporal Sequence Related Protoforms in Linguistic Summarization of Time Series. In: Proceedings of the conference: World Conference on Soft Computing, San Francisco, CA, USA, 23/05/2011-26/05/2011, ss. 227-NULL.
  407. Wilbik A., Kacprzyk J.: The use of consistency and confirmation measures in linguistic summaries of time series. In: Atanasov K. T., Homenda W., Hryniewicz O., Kacprzyk J., Krawczak M., Nahorski Z., Szmidt E., Zadrożny S. (Eds.): Developments in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. SRI PAS, Warszawa 2010, ss. 311-322, 30 poz. bibl.
  408. Wilbik A., Kacprzyk J.: Towards a multi-criteria analysis of linguistic summaries of time series via the measure of informativeness. INTERNATIONAL JOURNAL OF DATA MINING, MODELLING AND MANAGEMENT, 2011, ss. 01-20, 59 poz. bibl.
  409. Wilbik A., Kacprzyk J.: Using fuzzy linguistic summaries for the comparison of time series: an application to the analysis of investment fund quotations. In: Proceedings IFSA/EUSFLAT 2009, Lizbona, Portugalia, 20-24 lipca 2009, ss. 1321-1326.
  410. Xu Z., Cai X., Szmidt E.: Algorithms for estimating missing elements of incomplete intuitionistic preference relations. INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS, vol. 26, No. 9, 2011, ss. 787-813, 43 poz. bibl.
  411. Yager R., Kacprzyk J., Beliakov G. (Eds.): Recent Developments in the Ordered Weighted Averaging Operators: Theory and Practice. Springer-Verlag, Heidelberg 2011, 298 s., 300 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  412. Yao J., Vasilakos A. .., Pedrycz W.: Granular computing: perspectives and challenges. IEEE TRANSACTIONS ON CYBERNETICS, vol. 43, No. 6, 2013, ss. 1977-1989, 129 poz. bibl.
  413. Yu Y., Pedrycz W., Miao D.: Neighborhood rough sets based multi-label classification for automatic image annotation. INTERNATIONAL JOURNAL OF APPROXIMATE REASONING, vol. 54, No. 54, 2013, ss. 1373-1387, 42 poz. bibl.
  414. Yu Z., Pedrycz W., Xu Q.: Application of extension neural network to safety status pattern recognition of coal mines. JOURNAL OF CENTRAL SOUTH UNIVERSITY OF TECHNOLOGY, vol. 18, No. 3, 2011, ss. 633-641, 23 poz. bibl.
  415. Zadrożny S., De Tre G., Herrera-Viedma E., Pasi G. (Eds.): Soft Approaches to Information Processing: From Theory to Applications. Special Section of 'Control and Cybernetics'. Systems Research Institute Polish Academy of Sciences, 2010 [druk w 2011 roku], 130 s.
  416. Zadrożny S., De Tre G., Kacprzyk J.: On some approaches to possibilistic bipolar data modelling in databases. In: Atanassov, K., T., Hryniewicz, O., Kacprzyk, J., Krawczak, M., Nahorski, Z., Szmidt, E., Zadrożny, S. (Eds.): Advances in Fuzzy Sets, Intuitionistics Fuzzy Sets, Generalized Nets and Related Topics. Academic Publishing House EXIT, Warsaw 2008 [druk w 2009 roku], ss. 197-220 Seria: Challenging Problems of Science - Computer Science.
  417. Zadrożny S., De Tre G., Kacprzyk J.: Remarks on various aspects of bipolarity in database querying. In: Database and Expert Systems Applications, DEXA, International Workshops, Bilbao, Spain, August 30 - September 3, IEEE Computer Society, ss. 323-327.
  418. Zadrożny S., Kacprzyk J., De Tre G.: A concept of bipolar queries in textual information retrieval. In: Proceedings of the conference: 2009 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, Milan, Italy, 15-18 September 2009, IEEE, ss. 175-178.
  419. Zadrożny S., Kacprzyk J., De Tre G.: Bipolar queries in textual information retrieval: A new perspective. INFORMATION PROCESSING & MANAGEMENT, vol. 48, No. 3, 2012, ss. 390-398.
  420. Zadrożny S., Kacprzyk J., Nowacka K.: Using fuzzy and interval-valued fuzy sets in automatic text categorization based on fuzzy information retrieval model. In: Chris Cornelis, Glad Deschrijver, Mike nachtegael, Steven Schockaert, Yun Shi (Eds.): 35 Years of Fuzzy Set Theory. Springer-Verlag, Heidelberg and New York 2010, ss. 267-291, 30 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  421. Zadrożny S., Kacprzyk J., Raś Z.: Supporting Consensus Reaching Processes under Fuzzy Preferences and a Fuzzy Majority via Linguistic Summaries and Action Rules. In: Herrera-Viedma, E.; García-Lapresta, J.L.; Kacprzyk, J.; Fedrizzi, M.; Nurmi, H.; Zadrożny, S. (Eds.): Consensual Processes. Springer-Verlag, 2011, ss. 289-314, 68 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  422. Zadrożny S., Kacprzyk J., Raś Z.: Supporting Consensus Reaching Processes under Fuzzy Preferences and a Fuzzy Majority via Linguistic Summaries and Action Rules. In: Herrera-Viedma, E.; García-Lapresta, J.L.; Kacprzyk, J.; Fedrizzi, M.; Nurmi, H.; Zadrożny, S. (Eds.): Consensual Processes. Springer-Verlag, 2011, ss. 289-314, 68 poz. bibl. Seria: Studies in Fuzziness and Soft Computing.
  423. Zadrożny S., Kacprzyk J., Wysocki M.: On a novice-user-focused approach to flexible querying. The case of initially unavailable explicit user preferences. In: Proc. of the 10th International Conference on Intelligent Systems Design and Applications, Cairo, Egypt , November 29 - December 1, 2010, ss. NULL-NULL.
  424. Zadrożny S., Kacprzyk J.: Bipolar queries: a way to deal with mandatory and optional conditions in database querying. In: Janusz Kacprzyk, Frederick F. Petry, Adnan Yazici (Eds.): Uncertainty Approaches for Spatial Data Modeling and processing. Springer-Verlag, Heidelberg and New York 2010, ss. 117-132, 31 poz. bibl. Seria: Studies in Computational Intelligence.
  425. Zadrożny S., Kacprzyk J.: Bipolar Queries: A Way to Enhance the Flexibility of Database Queries. In: Z.W. Raś and A. Dardzińska (Eds.): Advances in Data Management. Springer, Berlin Heidelberg 2009, ss. 49-66 Seria: Studies in Computational Intelligence.
  426. Zadrożny S., Kacprzyk J.: Bipolar queries: an aggregation operator focused perspective. FUZZY SETS AND SYSTEMS, vol. 196, 2012, ss. 69-81.
  427. Zadrożny S., Kacprzyk J.: Bipolar queries: an approach and its various interpretations. In: Proceedings IFSA/EUSFLAT 2009, Lizbona, Portugalia, 20-24 lipca 2009, ss. 1288-1293.
  428. Zadrożny S., Kacprzyk J.: From a static to dynamic analysis of weblogs via linguistic summaries. In: Proceedings of 2011 IFSA World Congress AFSS International Conference, Surabaya i Bali, Indonezja, 21-25.06.2011, ss. NULL-NULL.
  429. Zadrożny S., Kacprzyk J.: Issues in the practical use of the OWA operators in fuzzy querying. JOURNAL OF INTELLIGENT INFORMATION SYSTEMS, vol. 33, No. 3, 2009, ss. 307-325, 28 poz. bibl.
  430. Zadrożny S., Kacprzyk J.: On an interpretation of keywords weights in information retrieval: Some fuzzy logic based approaches. INTERNATIONAL JOURNAL OF UNCERTAINTY FUZZINESS AND KNOWLEDGE-BASED SYSTEMS, vol. 17, No. Suppl. 1, 2009, ss. 41-58.
  431. Zadrożny S., Nowacka K.: Fuzzy information retrieval model revisited. FUZZY SETS AND SYSTEMS, vol. 160, No. 15, 2009, ss. 2171-2191, 43 poz. bibl.
  432. Zadrożny S.: Rozmytość i bipolarność w inteligentnym wyszukiwaniu informacji. Instytut Badań Systemowych PAN, Warszawa 2013, 187 s., 262 poz. bibl. Seria: Badania systemowe.
  433. Zamojski W., Kacprzyk J., Mazurkiewicz J., Sugier J., Walkowiak T. (Eds.): Dependable Computer Systems. Springer-Verlag, Heidelberg 2011, 314 s., 200 poz. bibl. Seria: Advances in Intelligent and Soft Computing.
  434. Zamojski W., Mazurkiewicz J., Sugier J., Walkowiak T., Kacprzyk J. (Eds.): Complex systems and dependability. Springer-Verlag, Heidelberg and New York 2012, 332 s., 250 poz. bibl. Seria: Advances in Intelligent and Soft Computing.
  435. Zhang H., Pedrycz W., Miao D., Zhong C.: A global structure-based algorithm for detecting the principal graph from complex data. PATTERN RECOGNITION , vol. 46, No. 46, 2013, ss. 1638-1647, 33 poz. bibl.
  436. Zhao J., Wang W., Liu Y., Pedrycz W.: A Two-Stage Online Prediction Method for a Blast Furnace Gas System and Its Application. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 19, No. 3, 2011, ss. 507-520, 18 poz. bibl.
  437. Zhao J., Wang W., Pedrycz W., Tian X.: Online Parameter Optimization-Based Prediction for Converter Gas System by Parallel Strategies. IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, vol. 20, No. 3, 2012, ss. 835-845.
  438. Zhou J., Pedrycz W., Miao D.: Shadowed sets in the characterization of rough-fuzzy clustering. PATTERN RECOGNITION , vol. 44, 2011, ss. 1738-1749, 23 poz. bibl.