• DocumentCode
    2274966
  • Title

    Linearity and the cnf property in linear fuzzy rule interpolation

  • Author

    Kóczy, László T. ; Kovács, Szilveszter

  • Author_Institution
    Dept. of Syst. Sci., Tokyo Inst. of Technol., Japan
  • fYear
    1994
  • fDate
    26-29 Jun 1994
  • Firstpage
    870
  • Abstract
    It is an important question if rule interpolation is done whether the theoretical shape of the membership function of the calculated conclusion is exactly or approximately linear between two neighboring α-levels in the breakpoint set, or it has a very different shape. In the latter case, interpolation for only a few (as e.g. 0 and 1) levels is not satisfactory, which fact might increase the computational time necessary for generating the conclusion by a large constant factor. It is also examined if the conclusion has a convex and normal membership function, i.e. whether the calculated infima exceed the calculated suprema of the given α-cut or not
  • Keywords
    fuzzy logic; fuzzy set theory; interpolation; α-cut; α-levels; breakpoint set; cnf property; linear fuzzy rule interpolation; linearity; membership function; Cloning; Equations; Fuzzy control; Fuzzy reasoning; Fuzzy set theory; Fuzzy systems; Interpolation; Linearity; Real time systems; Shape;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
  • Conference_Location
    Orlando, FL
  • Print_ISBN
    0-7803-1896-X
  • Type

    conf

  • DOI
    10.1109/FUZZY.1994.343850
  • Filename
    343850