Recent advances in interval type-2 fuzzy systems

This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each techni...

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Autori principali: Castillo, Oscar, Melin, Patricia (Autore)
Natura: Livre numérique
Lingua:Anglais
Pubblicazione: Berlin, Heidelberg : Springer Berlin Heidelberg [20..].
Cham : Springer Nature
Edizione:1st ed. 2012.
Serie:SpringerBriefs in Computational Intelligence 1
Accesso online:Accès sur la plateforme de l'éditeur
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Accès Université d'Orléans
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Nota: Archives Springer e-books (Licence nationale)
Archives Springer e-books (Licence nationale)
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Edition sous un autre format:• Recent Advances in Interval Type-2 Fuzzy Systems, Texte imprimé, 9783642289552
• Recent Advances in Interval Type-2 Fuzzy Systems, Texte imprimé, 9783642289576
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245 1 0 |a Recent advances in interval type-2 fuzzy systems   |c by Oscar Castillo, Patricia Melin. 
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505 1 |a Introduction Type-2 Fuzzy Logic Systems Bio-Inspired Optimization Methods Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems Ant Colony Optimization Algorithms for the Design of Type-2 Fuzzy Systems Other Methods for Optimization of Type-2 Fuzzy Systems Simulation Results Illustrating the Optimization of Type-2 Fuzzy Controllers Genetic Optimization of Interval Type-2 Fuzzy Sys-tems for Hardware Implementation on FPGAs General Overview of the Area and Future Trends 
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. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 
520 |a This book reviews current state of the art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. Combining type-2 fuzzy logic with optimization algorithms, powerful hy-brid intelligent systems have been built using the advantages that each technique offers. This book is intended to be a reference for scientists and engineers interested in applying type-2 fuzzy logic for solving problems in pattern recognition, intelligent control, intelligent manufacturing, robotics and automation. This book can also be used as a reference for graduate courses like the following: soft computing, intelligent pattern recognition, computer vision, applied artificial intelligence, and similar ones. We con-sider that this book can also be used to get novel ideas for new lines of re-search, or to continue the lines of research proposed by the authors 
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