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Complexity Management in Fuzzy Systems: A Rule Base Compression Approach / Edition 1
     

Complexity Management in Fuzzy Systems: A Rule Base Compression Approach / Edition 1

by Alexander Gegov
 

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ISBN-10: 3642072518

ISBN-13: 9783642072512

Pub. Date: 11/19/2010

Publisher: Springer Berlin Heidelberg

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

Overview

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.

Product Details

ISBN-13:
9783642072512
Publisher:
Springer Berlin Heidelberg
Publication date:
11/19/2010
Series:
Studies in Fuzziness and Soft Computing Series , #211
Edition description:
Softcover reprint of hardcover 1st ed. 2007
Pages:
349
Product dimensions:
6.14(w) x 9.21(h) x 0.76(d)

Related Subjects

Table of Contents

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.

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