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Ebook: Recent Advances in Interval Type-2 Fuzzy Systems

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27.01.2024
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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 hybrid 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 consider 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.




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.




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.


Content:
Front Matter....Pages i-x
Introduction....Pages 1-5
Type-2 Fuzzy Logic Systems....Pages 7-12
Bio-Inspired Optimization Methods....Pages 13-18
Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems....Pages 19-25
Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems....Pages 27-31
Ant Colony Optimization Algorithms for the Design of Type-2 Fuzzy Systems....Pages 33-35
Other Methods for Optimization of Type-2 Fuzzy Systems....Pages 37-43
Simulation Results Illustrating the Optimization of Type-2 Fuzzy Controllers....Pages 45-62
Genetic Optimization of Interval Type-2 Fuzzy Systems for Hardware Implementation on FPGAs....Pages 63-84
General Overview of the Area and Future Trends....Pages 85-87
Back Matter....Pages 89-90


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.


Content:
Front Matter....Pages i-x
Introduction....Pages 1-5
Type-2 Fuzzy Logic Systems....Pages 7-12
Bio-Inspired Optimization Methods....Pages 13-18
Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems....Pages 19-25
Particle Swarm Optimization in the Design of Type-2 Fuzzy Systems....Pages 27-31
Ant Colony Optimization Algorithms for the Design of Type-2 Fuzzy Systems....Pages 33-35
Other Methods for Optimization of Type-2 Fuzzy Systems....Pages 37-43
Simulation Results Illustrating the Optimization of Type-2 Fuzzy Controllers....Pages 45-62
Genetic Optimization of Interval Type-2 Fuzzy Systems for Hardware Implementation on FPGAs....Pages 63-84
General Overview of the Area and Future Trends....Pages 85-87
Back Matter....Pages 89-90
....
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