رکورد قبلیرکورد بعدی

" Complexity management in fuzzy systems : "


Document Type : BL
Record Number : 971821
Doc. No : b726191
Main Entry : Gegov, Alexander.
Title & Author : Complexity management in fuzzy systems : : a rule base compression approach /\ Alexander Gegov.
Publication Statement : Berlin ;London :: Springer,, ©2007.
Series Statement : Studies in fuzziness and soft computing ;; v. 211
Page. NO : 1 online resource (xiii, 351 pages) :: illustrations
ISBN : 1280940662
: : 3540388850
: : 6610940665
: : 9781280940668
: : 9783540388852
: : 9786610940660
: 3540388834
: 9783540388838
Bibliographies/Indexes : Includes bibliographical references (pages 345-348) and index.
Contents : Introduction -- Basic types of fuzzy rule based systems -- Rule base reduction methods for fuzzy systems -- Formal presentation of fuzzy rule based systems -- Formal manipulation of fuzzy rule based systems -- Formal manipulation with special rule bases -- Formal transformation of fuzzy rule based systems -- Formal transformation of feedback rule bases -- Formal simplification of fuzzy rule based systems -- Conclusion.
Abstract : This book presents a systematic study on the inherent complexity in fuzzy systems, resulting from the large number and the poor transparency of the fuzzy rules. The study uses a novel approach for complexity management, aimed at compressing the fuzzy rule base by removing the redundancy while preserving the solution. The compression is based on formal methods for presentation, manipulation, transformation and simplification of fuzzy rule bases, which are illustrated by algorithms as well as results from numerous examples and two case studies. The results are directly applicable or easily extendable to a wide class of fuzzy systems and detailed benchmarks for expanding these systems to new areas such as fuzzy networks and fuzzy multi-agent systems are introduced. The intended readers are people from both academia and industry, who would be interested in building and implementing advanced fuzzy systems.
Subject : Fuzzy systems.
Subject : Fuzzy systems.
Subject : Ingénierie.
Subject : SCIENCE-- System Theory.
Subject : Fuzzy systems.
Dewey Classification : ‭003.7‬
LC Classification : ‭QA76.9.S63‬‭.G44 2007eb‬
NLM classification : ‭N941‬clc
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