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...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς: Castillo, Oscar (Συγγραφέας), Melin, Patricia (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012.
Σειρά:SpringerBriefs in Applied Sciences and Technology, 1
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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100 1 |a Castillo, Oscar.  |e author. 
245 1 0 |a Recent Advances in Interval Type-2 Fuzzy Systems  |h [electronic resource] /  |c by Oscar Castillo, Patricia Melin. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2012. 
300 |a X, 90 p. 52 illus., 35 illus. in color.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a SpringerBriefs in Applied Sciences and Technology,  |x 2191-530X ;  |v 1 
505 0 |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. 
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. 
650 0 |a Engineering. 
650 0 |a Artificial intelligence. 
650 0 |a Computational intelligence. 
650 1 4 |a Engineering. 
650 2 4 |a Computational Intelligence. 
650 2 4 |a Artificial Intelligence (incl. Robotics). 
700 1 |a Melin, Patricia.  |e author. 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer eBooks 
776 0 8 |i Printed edition:  |z 9783642289552 
830 0 |a SpringerBriefs in Applied Sciences and Technology,  |x 2191-530X ;  |v 1 
856 4 0 |u http://dx.doi.org/10.1007/978-3-642-28956-9  |z Full Text via HEAL-Link 
912 |a ZDB-2-ENG 
950 |a Engineering (Springer-11647)