Springer Recent Advances in Interval Type-2 Fuzzy Systems (SpringerBriefs in Applied Sciences and Technology)

This book reviews state-of-the-art methods for building intelligent systems using type-2 fuzzy logic and bio-inspired optimization techniques. The authors show how to combine type-2 fuzzy logic with optimization algorithms to create powerful hybrid systems. From the Back Cover 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.