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Evolutionary Design of Fuzzy Systems

In: Soft Computing

Author

Listed:
  • Andrea Tettamanzi

    (University of Milan, Information Technology Department)

  • Marco Tomassini

    (University of Lausanne, Computer Science Institute)

Abstract

ONE of the reasons for the success of fuzzy logic is that the linguistic variables, values, and rules allow the engineer to seamlessly translate human knowledge into systems that work. What is a strength in some cases, however, is a weakness in others. If expert knowledge is not available, there is no ready made recipe to put together a fuzzy system from scratch, as is the case with more conventional techniques. This is where evolutionary algorithms come into play.

Suggested Citation

  • Andrea Tettamanzi & Marco Tomassini, 2001. "Evolutionary Design of Fuzzy Systems," Springer Books, in: Soft Computing, chapter 0, pages 161-199, Springer.
    • Handle: RePEc:spr:sprchp:978-3-662-04335-6_5
    DOI: 10.1007/978-3-662-04335-6_5
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