Fuzzy Intelligent Systems: Methodologies, Techniques, and Applications (Artificial Intelligence and Soft Computing for Industrial Transformation)

✍ Scribed by R. Anandan (editor), E. Chandrasekaran (editor), G. Suseendran (editor), S. Balamurugan (editor), Hanaa Hachimi (editor)

Publisher: Wiley-Scrivener
Year: 2021
Tongue: English
Leaves: 480
Edition: 1
Category: Library

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✦ Synopsis

Fuzzy Intelligent Systems: Methodologies, Techniques and Applications comprises state-of-the-art chapters detailing how expert systems are built and the fuzzy logic resembling human reasoning powering them. Hybrid and neuro-fuzzy intelligent systems are discussed along with Evolutionary and, in particular, Genetic Algorithms. This approach has been extended by using Multiobjective Evolutionary Algorithms, which can consider multiple conflicting objectives instead of a single one. The book also discusses the hybridization between Multiobjective Evolutionary Algorithms and Fuzzy Systems which is known as Multiobjective Evolutionary Fuzzy Systems.

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