Titlebook: Recent Advances in Interval Type-2 Fuzzy Systems; Oscar Castillo,Patricia Melin Book 2012 The Author(s) 2012 Bio-inspired Optimization Tec

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https://doi.org/10.1007/978-3-642-28956-9Bio-inspired Optimization Techniques; Computational Intelligence; Type-2 Fuzzy Logic

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2191-530X Reference for scientists and engineers interested in applyinThis 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 sy

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Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems,to illustrate the advantages of using a bio-inspired optimization technique for automating the design process of type-2 fuzzy systems. This overview has the goal of providing the reader with an idea of the diversity of applications that have been achieved using genetic algorithms for type-2 fuzzy system optimization.

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Book 2012 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 patt

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Introduction,nd ant colony optimization, as three different paradigms that help in the design of optimal type-2 fuzzy systems. We also provide a comparison of results for the different optimization methods for the case of designing type-2 fuzzy systems.

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Introduction,s book. The fundamental focus of the book is based on the basic reasons of the need for optimizing type-2 fuzzy systems for different areas of application. Recently, bio-inspired methods have emerged as powerful optimization algorithms for solving complex problems. In the case of designing type-2 fu

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Overview of Genetic Algorithms Applied in the Optimization of Type-2 Fuzzy Systems, have had relative success according to the different areas of application. In this chapter, we offer a representative review of these types of works to illustrate the advantages of using a bio-inspired optimization technique for automating the design process of type-2 fuzzy systems. This overview h