W.Pedrycz, J. Szymanski, S. Frimpong, A generalized granular multiplexer, Int. Conf on Applied Simulation and Modelling, ASM 2000, July 2426, Banff, 2000.
W.Pedrycz, M.H. Smith, Information granulation: percepts and their stability, Proc. IEEE Conf. on Fuzzy Systems, San Antonio, 710 May 2000, pp. 8388.
W.Pedrycz, A.V. Vasilakos, A. Gacek, Information granulation for concept formation, 2000 ACM Symp. on Applied Computing, Como, Italy, March 1921, 2000, vol.I, pp. 484489
N.Pizzi, W.Pedrycz, IEEE Int. Conf. on Neural Networks, Como, Italy, July 2427, 2000.
W.Pedrycz, M.H. Smith, A. Bargiela, A granular signature of data, Int. Conf. NAFIPS2000, Atlanta, July.
W.Pedrycz, E. Roventa, Selected properties of granular information and granular processes, 8th Int. Conf. IPMU2000, Madrid, Spain, July 37, vol. I, 543548.
W. Pedrycz, M. H. Smith, Fuzzy correlation in granular computing, Proc 8th IEEE Int. Conference on Fuzzy Systems, IEEEFUZZ, August 2225, 1999, Seoul, Korea.
B. J. Park, S.K. Oh, W. Pedrycz, Fuzzy identification by means of partitions of fuzzy input space and an aggregate objective function, Proc 8th IEEE Int. Conference on Fuzzy Systems, IEEEFUZZ, August 2225, 1999, Seoul, Korea.
H.S. Park, S. K. Oh,T.C.Ahn, W. Pedrycz, A study on multilayer fuzzy polynomial inference system based on an extended GMDH algorithm, Proc 8th IEEE Int. Conference on Fuzzy Systems, IEEEFUZZ, August 2225, 1999, Seoul, Korea.
W. Pedrycz,G. Vukovich, Quantification of fuzzy mappings: a relevance of rulebased architectures, Proc. 18th Int Conf of the North American Fuzzy Information Processing Society (NAFIPS), New York, June 112, 1999, pp. 105109.
R. Chapman, W. Pedrycz, S. Rae, A motorless artificial limb and its control architecture, 1999 Canadian Conference on Electrical & Computer Engineering CCECE99, Edmonton, Canada, May 912, 1999, pp. 17341739.
M. Alexiuk, N. Pizzi, W. Pedrycz, Classification of volumetric storm cell patterns, 1999 Canadian Conference on Electrical & Computer Engineering CCECE99, Edmonton, Canada, May 912, 1999, pp. 10811085.
W. Pedrycz, J. F. Peters, S. Ramanna, A fuzzy set approach to cost estimation of software projects, 1999 Canadian Conference on Electrical & Computer Engineering CCECE99, Edmonton, Canada, May 912, 1999, pp. 10681073.
W. Pedrycz, Z. A. Sosnowski, Fuzzy granulation and decision trees, Proc. ESM99, Warsaw, Poland, June 14, 1999.
W. Pedrycz, Granular computing for system modelling, Fuzzy granulation and decision trees, Proc. ESM99, Warsaw, Poland, June 14, 1999.
P. Ekel, W. Pedrycz, R. Schinzinger, Methods of multicriteria deciosion making in fuzzy environment and their applications, Proc. 18th Int Conf of the North American Fuzzy Information Processing Society (NAFIPS), New York, June 112, 1999, pp. 625629.
W. Pedrycz, M.H. Smith,Granular correlation analysis in data mining, Proc. 18th Int Conf of the North American Fuzzy Information Processing Society (NAFIPS), New York, June 112, 1999, pp. 715719.
W. Pedrycz, Fuzzy system modelling and simulation, Proc. 10th European Simulation Symposium, October 2628, 1998, Nottingham, UK, pp. 310.
W. Pedrycz, A. V. Vasilakos, Linguistic modeling of traffic in broadband communication networks, Proc. EUFIT98, Aachen, September 710, 1998.
R.J. Hathaway, G. W. Rogers, J.C. Bezdek, W. Pedrycz, Fusing heterogeneous fuzzy data for clustering, In: Signal Processing, sensor Fusion, and Target Recognition VI, Proc. of SPIE Orlando, FL, vol. 3068, 1997, pp. 559  568.
W. Pedrycz, M. H. Smith, Designing dynamic temporally sensitive fuzzy neural networks, 17th Int. Conf. of the North American Fuzzy Information Processing Society (NAFIPS), Pensacola, Fl, August 1998.
W. Pedrycz, M. H. Smith, Linguistic summarization of industrial data, Proc. of the World Automation Congress WAC'98, Anchorage, Alaska, 1998.
W. Pedrycz, Computational Intelligence: An Introduction (tutorial), IASTED Int. Conf. on Applied Modelling and Simulation, Banff, July 27August 1, 1997, pp. 15.
W. Pedrycz, M.H. Smith, Fuzzy neural networks and approximate reasoning, Proc. IASTED Int. Conf. on Applied Modelling and Simulation, Banff, July 27August 1, 1997.
W. Pedrycz, Data mining and knowledge discovery: a fuzzy set perspective, Tatra Mountains, Mathematical Publications, vol.13, 1997, pp. 195  218 (tutorial, IFSA97).
W. Pedrycz, M. H. Smith, Fuzzy inference networks, Proc. World Congress of International Fuzzy Systems Association IFSA97, Prague, Czech Republic, June 2529, 1997, vol. II, pp. 500 503.
R. Gudwin, F. Gomide, W. Pedrycz, Nonlinear context adaptation with a genetic algorithm, Proc. World Congress of International Fuzzy Systems Association IFSA97, Prague, Czech Republic, June 2529, 1997, vol. II, pp. 300 305.
S. Oh, T. Ahn, W. Pedrycz, Fuzzy polynomial neural networkbased structure and its applications to nonlinear process systems, Proc. World Congress of International Fuzzy Systems Association IFSA97, Prague, Czech Republic, June 2529, 1997, vol. II, pp. 495 499.
P. Ekel, W. Pedrycz, V. Popov, M. Junges, M. Moraes, Models and methods of multicriteria decision making in a fuzzy environment and their applications, Proc. World Congress of International Fuzzy Systems Association IFSA97, Prague, Czech Republic, June 2529, 1997, vol. III, pp. 89 94.
W. Pedrycz, J. Peters, S. Ramanna, T. Furuhashi, Models and methods of multicriteria decision making in a fuzzy environment and their applications, Proc. World Congress of International Fuzzy Systems Association IFSA97, Prague, Czech Republic, June 2529, 1997, vol. III, pp. 294 299.
W. Pedrycz, Data mining and knowledge discovery through fuzzy neurocomputing (plenary talk), Proc. FuzzyNeuroSysteme'97 (Computational Intelligence), Soest, Germany, March 1214, 1997, pp. 45  59.
W. Pedrycz, M. H. Smith, Fuzzy inference networks: an introduction, Proc. Int. Conf, on Neural Networks, ICNNIEEE, Houston, TX, 1997 vol. IV, pp. 23422346.
W. Pedrycz, E. Roventa, From fuzzy information processing to fuzzy communication channels, IEEE Instrumentation & Measurement Technology Conference, Ottawa, May 19 21, 1997, pp. 796  801.
W. Pedrycz, J.F. Peters, S. Ramanna, Neurofuzzy approach to software quality models, 8th Workshop on Software Metrics, Idaho, 1997.
K. Hirota, W. Pedrycz, Linguistic data mining and fuzzy modeling, Proc.5th IEEE Int. Conference on Fuzzy Systems, New Orleans, USA, September 811, 1996, vol. III, pp. 1488  1492.
M.Reformat, E.Kuffel, D.Woodford, W.Pedrycz, Genetic Algorithms in Optimal Control Design of Complex Systems: Power System Application, in Proceedings of `International Workshop on Soft Computing in Industry '96', 2728 April 1996, Muroran, Hokkaido, Japan, pp.178184.
N. Yubazaki, M. Otani, T. Ashida, A. Muto, J. Yi, K.Hirota, W. Pedrycz, Fuzzy control based on interpolation algorithm, Proc. 1996 IEEE Int. Conference on Systems, Man and Cybernetics, Beijing, October 1417, 1996, vol. I, pp, 394 399.
W. Pedrycz, J. J. Valente de Oliveira, Some design options for optimal fuzzy model I/O interfaces, Proc.5th IEEE Int. Conference on Fuzzy Systems, New Orleans, USA,September 811, 1996, vol. III, pp. 1481  1487.
W. Pedrycz, Fuzzy sets and neurocomputation: knowledgebased networks (invited paper), Proc. SPIE Applications of Fuzzy Logic Technology II, Orlando, Florida, USA, April 1921, 1995, pp. 220.
W. Homenda, W. Pedrycz, Fuzzy neuron modeling based on algebraic approach to fuzzy sets, Proc. SPIE Applications of Fuzzy Logic Technology II, Orland, Florida, USA, April 1921, 1995, pp. 7182.
J. C. Bezdek, R. Hathaway, W. Pedrycz, A parametric heterogeneous fuzzy data model, Proc. 1995 ICNN, vol. 1, IEEE Press, pp. 354  358.
