Fuzzy approach to reasoning and decision-making : selected papers of the international symposium held at Bechyně, from June 25 to 29, 1990
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Bibliographic Information
Fuzzy approach to reasoning and decision-making : selected papers of the international symposium held at Bechyně, from June 25 to 29, 1990
(Theory and decision library, Series D,
Kluwer Academic, c1992
- : ne
- : us
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Hiroshima Institute of Technology Library図書館
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International Symposium on Fuzzy Approach to Reasoning and Decision-Making was sponsored by Faculty of Engineering of the Technical University at Brno, International Fuzzy Systems Association, and North American Fuzzy Information Processing Society
Includes bibliographical references and index
Description and Table of Contents
Description
Table of Contents
- 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.
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