Fuzzy Reasoning in Information, Decision and Control Systems

Tzafestas, Spyros G. (Ed.)

ISBN 10: 0792326431 ISBN 13: 9780792326434
Edité par Springer, 1994
Ancien(s) ou d'occasion Couverture rigide

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A propos de cet article

Description :

This is an ex-library book and may have the usual library/used-book markings inside.This book has hardback covers. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item,1250grams, ISBN:0792326431. N° de réf. du vendeur 4137500

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Synopsis :

Great progresses have been made in the application of fuzzy set theory and fuzzy logic. Most remarkable area of application is 'fuzzy control', where fuzzy logic was first applied to plant control systems and its use is expanding to consumer products. Most of fuzzy control systems uses fuzzy inference with max-min or max-product composition, similar to the algorithm that first used by Mamdani in 1970s. Some algorithms are developed to refine fuzzy controls systems but the main part of algorithm stays the same. Triggered by the success of fuzzy control systems, other ways of applying fuzzy set theory are also investigated. They are usually referred to as 'fuzzy expert sys- tems', and their purpose are to combine the idea of fuzzy theory with AI based approach toward knowledge processing. These approaches can be more generally viewed as 'fuzzy information processing', that is to bring fuzzy idea into informa- tion processing systems.

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Détails bibliographiques

Titre : Fuzzy Reasoning in Information, Decision and...
Éditeur : Springer
Date d'édition : 1994
Reliure : Couverture rigide
Etat : Good

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