Fuzzy Approach to Reasoning and Decision Making

Part 1 Approximate reasoning and fuzzy logic: fuzzy logic acquisition in expert systems, A. Averkin; fuzzy local inference in fuzzy knowledge basis, H. Bandemer; fuzzy sets in approximate reasoning, D. Dubois; SAK - an expert system shell based on complete many-valued (fuzzy) logic, J. Ivanek and E. Sovjakova; fuzzy logic with linguistic quantifiers in inductive learning, J. Kacprzyk; ontology, semantic and syntax of fuzzy logic, L. Kohout; on the logical basis of approximate reasoning, V. Novak; pseudophysical logic in artificial intelligence, D. Psopelov; Bayesian and possibilistic productions rules in syllogistic reasoning, M. Roubens; a fuzzy chip for high-speed approximate reasoning, T. Yamakawa. Part 2 Decision-making: clustering in Banach speces, J. Bezdek; triangular norm-based measures and games, E.P. Klement; multimodel representation and management of uncertainty, G. Klir; an optimum concept for fuzzified linear programming based on exact penalty functions, M. Kovacs; linear dependence of fuzzy vectors, M. Mares; on the nature of intransitivity in human preferential judgement, K. Nakamura; vaguely interrelated coefficients in linear programming as bicriterial optimization problem, J. Ramik; FULP - a PC-supported procedure for solving multicriteria linear programming with fuzzy data, H. Rommelfanger. Part 3 Applications in physics: on the structure of fuzzy observables, R. Mesiar and A. Kolesarova; on a fuzzy approach to quantum mechanics, B. Riecan.