Genetic Fuzzy Systems

Evolutionary Tuning And Learning Of Fuzzy Knowledge Bases

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)

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English

World Scientific Publishing Co Pte Ltd
01 December 2000

Fuzzy set theory; Maths for computer scientists; Machine learning

Series: Advances In Fuzzy Systems-applications And Theory

"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."

By: 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), Luis Magdalena (Universidad Politecnica de Madrid, Spain)
Imprint: World Scientific Publishing Co Pte Ltd
Country of Publication: Singapore
Volume: 19
Dimensions: Height: 230mm,
ISBN: 9789810240165
ISBN 10: 9810240163
Series: Advances In Fuzzy Systems-applications And Theory
Pages: 488
Publication Date: 01 December 2000
Audience: College/higher education , Professional and scholarly , Further / Higher Education , Undergraduate
Format: Hardback
Publisher's Status: Active

Fuzzy 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.