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Recent Advances in Interval Type-2 Fuzzy Systems [electronic resource] / by Oscar Castillo, Patricia Melin.

By: Castillo, Oscar [author.].
Contributor(s): Melin, Patricia [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: SpringerBriefs in Applied Sciences and Technology: 1Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2012Description: X, 90 p. 52 illus., 35 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783642289569.Subject(s): Engineering | Artificial intelligence | Engineering | Computational Intelligence | Artificial Intelligence (incl. Robotics)DDC classification: 006.3 Online resources: Click here to access online
Contents:
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.
In: Springer eBooksSummary: 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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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.

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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