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This ebook discovers new techniques for making intelligent systems applying type-2 fuzzy logic and soft computing methods. Soft Computing (SC) consists by many computing paradigms, including type-1 fuzzy logic, neural networks, and genetic algorithms, which could be applied to make powerful hybrid intelligent systems. The writers extends the use of fuzzy logic to a higher order, which is called type-2 fuzzy logic. Blending type-2 fuzzy logic with conventional SC methods, we could make powerful hybrid intelligent systems that can use the advantages that from each one method offers. We believe in this ebook the use of type-2 fuzzy logic and conventional SC methods to solve pattern identification problems in real life applications.

This ebook is intended to be a great reference book for scientists and engineers interested in implementing type-2 fuzzy logic for solving troubles in pattern identification, intelligent control, intelligent constructing, robotics and automation. This ebook can as well be applied as a textbook or great reference book for postgraduate courses like the following: soft computing, intelligent pattern identification, computer vision, applied AI, and similar ones.

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