• DocumentCode
    1660361
  • Title

    Performance evaluation of fuzzy partitions with different fuzzification grades

  • Author

    Ishibuchi, Hisao ; Yamamoto, Takashi

  • Author_Institution
    Dept. of Ind. Eng., Osaka Prefecture Univ., Japan
  • Volume
    2
  • fYear
    2002
  • fDate
    6/24/1905 12:00:00 AM
  • Firstpage
    1198
  • Lastpage
    1203
  • Abstract
    The aim of this paper is twofold. One is to propose a general framework for examining the effect of fuzzy partitions on the performance of fuzzy rule-based systems. The other is to compare fuzzy partitions with interval partitions using the proposed framework through computer simulations on realworld pattern classification problems
  • Keywords
    digital simulation; fuzzy logic; knowledge based systems; pattern classification; performance evaluation; computer simulations; fuzzification grades; fuzzy partitions; fuzzy rule-based systems; interval partitions; performance evaluation; realworld pattern classification; Computer simulation; Data mining; Fuzzy control; Fuzzy sets; Fuzzy systems; Industrial engineering; Interpolation; Knowledge based systems; Machine learning; Pattern classification;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2002. FUZZ-IEEE'02. Proceedings of the 2002 IEEE International Conference on
  • Conference_Location
    Honolulu, HI
  • Print_ISBN
    0-7803-7280-8
  • Type

    conf

  • DOI
    10.1109/FUZZ.2002.1006674
  • Filename
    1006674