• DocumentCode
    354029
  • Title

    Fuzzy reasoning based on genetic algorithms

  • Author

    Jianwu, Li ; Jisong, Kou ; MinQiang, Li

  • Author_Institution
    Inst. of Syst. Eng., Tianjin Univ., China
  • Volume
    3
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    1854
  • Abstract
    In this paper, a kind of fuzzy reasoning based on genetic algorithms (GA) is introduced. The fuzzy reasoning system uses genetic algorithms to adjust weights of all reasoning rules synthetically. At last, the results of computer simulations also reveal that GA is effective and practical in optimizing those weights
  • Keywords
    fuzzy logic; genetic algorithms; inference mechanisms; GA; fuzzy reasoning; genetic algorithms; optimization; Computer simulation; Fuzzy reasoning; Genetic algorithms; Genetic engineering; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
  • Conference_Location
    Hefei
  • Print_ISBN
    0-7803-5995-X
  • Type

    conf

  • DOI
    10.1109/WCICA.2000.862796
  • Filename
    862796
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=354029