Fuzzy Approach to Reasoning and Decision-making by Vil'em Novak - ISBN: 9780792313588
Hardcover
The papers in this text discuss the theoretical background of fuzzy logic and the applications of fuzzy reasoning to the problems of artificial intelligence, robotics and expert systems. Some papers explore fuzzy approaches to modelling of decision-making situations under uncertainty.
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Fuzzy Approach to Reasoning and Decision-making

Selected Papers of the International Symposium Held at Bechyne from June 25-29, 1990

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$125.10

  • Hardcover

    236 pages

  • Release Date

    30 September 1992

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Summary

The papers presented at the Symposium focused mainly on two fields of interest. First, there were papers dealing with the theoretical background of fuzzy logic and with applications of fuzzy reasoning to the problems of artificial intelligence, robotics and expert systems. Second, quite a large number of papers were devoted to fuzzy approaches to modelling of decision-making situations under uncertainty and vagueness and their applications to the evaluation of alternatives, system control and optimization. Apart from that, there were also some interesting contributions from other areas, like fuzzy classifications and the use of fuzzy approaches in quantum physics. The volume contains papers presented at the Symposium and will be of use to all those researchers interested in fuzzy set theory and its applications.

Book Details

ISBN-13:9780792313588
ISBN-10:0792313585
Author:Vil'em Novak, Jaroslav Ramik, Milan Mares, Martin Cerny, Jiri Nekola
Publisher:Kluwer Academic Publishers
Imprint:Kluwer Academic Publishers
Format:Hardcover
Number of Pages:236
Edition:1st
Release Date:30 September 1992
Weight:511g
Dimensions:16mm x 156mm x 234mm
Series:Theory and Decision Library: D
A-Format
B-Format
C-Format
Fuzzy Approach to Reasoning and Decision-making by Vil'em Novak - ISBN: 9780792313588
156 × 234 mm
A4
mm / in
What They're Saying

Critics Review

… The two main outstanding features of this book … are timeliness of the material and its coherence. … Overall, a superb and useful reading.’ Fuzzy Sets and Systems, 57: 3

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