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Overview"A number of publications have explored the use of genetic algorithms as a tool for designing fuzzy systems. This volume explores and discusses this symbiosis of evolutionary computation and fuzzy logic. The book summarizes and analyzes the 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 Systems"" 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 aims to provide a valuable compendium for scientists and engineers concerned with research and applications in the domain of fuzzy systems and genetic algorithms - specifically for probabilists, analysts, statisticians and mathematicians." Full Product DetailsAuthor: Oscar Cordon (Univ Of Granada, Spain) , Francisco Herrera (Univ Of Granada, Spain) , Frank Hoffmann (Royal Ins Of Tech, Stockholm) , Luis Magdalena (Univ Politecnica De Madrid, Spain)Publisher: World Scientific Publishing Co Pte Ltd Imprint: World Scientific Publishing Co Pte Ltd Volume: 19 ISBN: 9789810240165ISBN 10: 9810240163 Pages: 488 Publication Date: 16 July 2001 Audience: College/higher education , Professional and scholarly , Postgraduate, Research & Scholarly , Professional & Vocational Format: Hardback Publisher's Status: Active Availability: To order  Stock availability from the supplier is unknown. We will order it for you and ship this item to you once it is received by us. Table of ContentsFuzzy Rule-Based Systems; Evolutionary Computation; Introduction to Genetic Fuzzy Systems; Genetic Tuning Processes; Learning with Genetic Algorithms; Genetic Fuzzy Rule-Based Systems Based on the Michigan Approach; Genetic Fuzzy Rule-Based Systems Based on the Pittsburgh Approach; Genetic Fuzzy Rule-Based Systems Based on the lterative Rule Learning Approach; Other Genetic Fuzzy Rule-Based System; Other Kinds of Evolutionary Fuzzy Systems; Applications.ReviewsAuthor InformationTab Content 6Author Website:Countries AvailableAll regions |
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