In recent years, a great number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. Genetic Fuzzy Systems explores and discusses this symbiosis of evolutionary computation and fuzzy logic.The book summarizes and analyzes the novel field of genetic fuzzy systems, paying special attention to genetic algorithms that adapt and learn the knowledge base of a fuzzy-rule-based system. It introduces the general concepts, foundations and design principles of genetic fuzzy systems and covers the topic of genetic tuning of fuzzy systems. It also introduces the three fundamental approaches to genetic learning processes in fuzzy systems: the Michigan, Pittsburgh and Iterative-learning methods. Finally, it explores hybrid genetic fuzzy systems such as genetic fuzzy clustering or genetic neuro-fuzzy systems and describes a number of applications from different areas. Genetic Fuzzy System represents a comprehensive treatise on the design of the fuzzy-rule-based systems using genetic algorithms, both from a theoretical and a practical perspective. It is a valuable compendium for scientists and engineers concerned with research and applications in the domain of fuzzy systems and genetic algorithms.
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Nowadays, one of the most important areas of application of fuzzy set theory as developed by Zadeh (1965) are fuzzy rule-based systems (FRBSs). Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Coding Knowledge Bases, Genetic Fuzzy Rule-Based Systems Based, Refining Rule Bases New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Nowadays, one of the most important areas of application of fuzzy set theory as developed by Zadeh (1965) are fuzzy rule-based systems (FRBSs). Read the first page Key Phrases - Capitalized Phrases (CAPs): (learn more)
Coding Knowledge Bases, Genetic Fuzzy Rule-Based Systems Based, Refining Rule Bases New!
Books on Related Topics | Concordance | Text Stats Browse Sample Pages:
Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
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This book cites 47
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24
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- Genetic Algorithms and Soft Computing (Studies in Fuzziness and Soft Computing) by Francisco Herrera on 10 pages
- Genetic Algorithms in Engineering and Computer Science (Wiley series in computational methods in applied sciences) by Gerhard Winter on 5 pages
- Genetic Algorithms [VHS] by KOZA on 4 pages
- Intelligent Data Analysis by Berthold Michael/ Hand D. J. (EDT) in Back Matter (1), Back Matter (2), and Back Matter (3)
- Fuzzy Evolutionary Computation by Witold Pedrycz in Back Matter (1), Back Matter (2), and Back Matter (3)
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- Fuzzy Logic in Geology by Robert V. Demicco on page 104, page 110, and page 152
- Fuzzy Systems Engineering: Theory and Practice (Studies in Fuzziness and Soft Computing) by Nadia Nedjah on page 80, and page 81
- Recent Advances in Intelligent Paradigms and Applications by Ajith Abraham on page 30, and page 31
- Fuzzy Relational Cacules: Theory, Applications and Software [With CD-ROM] (Advances in Fuzzy Systems-Applications and Theory) by Ketty Peeva in Front Matter, and Back Matter
- Artificial Immune Systems: 4th International Conference, ICARIS 2005, Banff, Alberta, Canada, August 14-17, 2005, Proceedings (Lecture Notes in ... Computer Science and General Issues) by Christian Jacob on page 481
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