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Recent Advances in Interval Type-2 Fuzzy Systems. SpringerBriefs in Computational Intelligence

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Recent Advances in Interval Type-2 Fuzzy Systems. SpringerBriefs in Computational Intelligence Synopsis

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.

About This Edition

ISBN: 9783642289552
Publication date: 19th April 2012
Author: Oscar Castillo, Patricia Melin
Publisher: Springer an imprint of Springer Berlin Heidelberg
Format: Paperback
Pagination: 90 pages
Series: SpringerBriefs in Applied Sciences and Technology
Genres: Artificial intelligence