• DocumentCode
    315332
  • Title

    Application of the coevolutionary system to the fuzzy model design

  • Author

    Wloszek, A. ; Domanski, Pawel D.

  • Author_Institution
    Inst. of Control & Comput. Eng., Warsaw Univ. of Technol., Poland
  • Volume
    1
  • fYear
    1997
  • fDate
    1-5 Jul 1997
  • Firstpage
    391
  • Abstract
    This paper presents the decision rules searching algorithm for fuzzy systems based on the coevolutionary notion. The classical rule extraction problem is decomposed to the several cooperating systems. Each sub-system is based on the evolutionary strategy, and coevolution is obtained through the fitness function calculations and ranking rules selection. The method is tested on real dynamic systems
  • Keywords
    fuzzy logic; fuzzy set theory; fuzzy systems; genetic algorithms; inference mechanisms; modelling; search problems; classical rule extraction problem; coevolutionary system; cooperating systems; decision rules searching algorithm; dynamic systems; evolutionary strategy; fitness function; fuzzy model design; fuzzy systems; ranking rules selection; Biological cells; Control engineering computing; Decoding; Fuzzy logic; Fuzzy sets; Fuzzy systems; Genetics; Input variables; Neural networks; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1997., Proceedings of the Sixth IEEE International Conference on
  • Conference_Location
    Barcelona
  • Print_ISBN
    0-7803-3796-4
  • Type

    conf

  • DOI
    10.1109/FUZZY.1997.616400
  • Filename
    616400