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Evolutionary Fuzzy Systems

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Encyclopedia of Machine Learning

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Definition

An evolutionary fuzzy system is a hybrid automatic learning approximation that integrates fuzzy systems with evolutionary algorithms, with the objective of combining the optimization and learning abilities of evolutionary algorithms together with the capabilities of fuzzy systems to deal with approximate knowledge. Evolutionary fuzzy systems allow the optimization of the knowledge provided by the expert in terms of linguistic variables and fuzzy rules, the generation of some of the components of fuzzy systems based on the partial information provided by the expert, and in some cases even the generation of fuzzy systems without expert information. Since many evolutionary fuzzy systems are based on the use of genetic algorithms, they are also known as genetic fuzzy systems. However, many models presented in the scientific literature also use genetic programming, evolutionary programming, or evolution strategies, making the term evolutionary fuzzy systemsmore adequate. Highly...

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Authors and Affiliations

    Authors
    1. Carlos Kavka
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    Editors and Affiliations

    1. School of Computer Science and Engineering, University of New South Wales, Sydney, Australia, 2052

      Claude Sammut

    2. Faculty of Information Technology, Clayton School of Information Technology, Monash University, P.O. Box 63, Victoria, Australia, 3800

      Geoffrey I. Webb

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    © 2011 Springer Science+Business Media, LLC

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    Kavka, C. (2011). Evolutionary Fuzzy Systems. In: Sammut, C., Webb, G.I. (eds) Encyclopedia of Machine Learning. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-30164-8_281

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