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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Bibliografski detalji
Glavni autor: Gegov, Alexander
Format: Livre numérique
Jezik:Anglais
Izdano: Berlin, Heidelberg : Springer Berlin Heidelberg 2007.
Cham : Springer Nature
Serija:Studies in Fuzziness and Soft Computing 211
Online pristup:Accès sur la plateforme de l'éditeur
Accès sur la plateforme Istex
Accès Université d'Orléans
Accès INSA CVL
Bilješka: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
Autres localisations: Voir dans le Sudoc
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
Sadržaj:
  • 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.