Complexity Management in Fuzzy Systems: A Rule Base Compression Approach: 211 (Studies in Fuzziness and Soft Computing, 211) - Tapa dura

Libro 35 de 183: Studies in Fuzziness and Soft Computing

Gegov, Alexander

 
9783540388838: Complexity Management in Fuzzy Systems: A Rule Base Compression Approach: 211 (Studies in Fuzziness and Soft Computing, 211)

Sinopsis

Doing research is a great adventure As any adventure sometimes it is hard You may feel alone and with no idea where to go But if you have courage and press onwards You will eventually stand where no one has stood And see the world as no one has seen it There can be no better feeling than this!

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De la contraportada

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.

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Otras ediciones populares con el mismo título

9783642072512: Complexity Management in Fuzzy Systems: A Rule Base Compression Approach: 211 (Studies in Fuzziness and Soft Computing)

Edición Destacada

ISBN 10:  3642072518 ISBN 13:  9783642072512
Editorial: Springer, 2010
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