Complexity Management in Fuzzy Systems : A Rule Base Compression Approach

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 preser...

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Bibliografiset tiedot
Päätekijä: Gegov, Alexander
Aineistotyyppi: Livre numérique
Kieli:Anglais
Julkaistu: Berlin, Heidelberg : Springer Berlin Heidelberg 2007.
Cham : Springer Nature
Sarja:Studies in Fuzziness and Soft Computing 211
Linkit:Accès sur la plateforme de l'éditeur
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Huomautus: Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Complexity Management in Fuzzy Systems, Texte imprimé, 9783540388838
• Complexity Management in Fuzzy Systems, Texte imprimé, 9783540828655
• Complexity Management in Fuzzy Systems, Texte imprimé, 9783642072512
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245 1 0 |a Complexity Management in Fuzzy Systems :  |b A Rule Base Compression Approach   |c by Alexander Gegov. 
260 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg. 
260 |a Cham :  |b Springer Nature,  |c 2007. 
490 0 |a Studies in Fuzziness and Soft Computing  |v 211  |x 1860-0808 
500 |a Archives Springer e-books (Licence nationale) 
500 |a Archives Springer e-books (Licence nationale) 
505 0 |a 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. 
506 |a Accès en ligne pour les établissements français bénéficiaires des licences nationales 
506 |a Accès soumis à abonnement pour tout autre établissement 
506 |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a 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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