• DocumentCode
    2864887
  • Title

    Type-2 Fuzzy Logic System and Level Set

  • Author

    XaoLing Ye ; Fu, LingLing ; Zhang, Yingchao

  • Author_Institution
    NUIST, Nanjing
  • fYear
    2007
  • fDate
    29-31 Oct. 2007
  • Firstpage
    80
  • Lastpage
    85
  • Abstract
    The basic theory of a type-2 Fuzzy Logic Systems (FLSs) is presented, an efficient and simplified method to convert a type-2 fuzzy to a crisp result in a type-2 FLS is proposed, which is a straightforward way for the liberation of computation complexity, and the example shows that it also keeps the vague that it should have. A important application of fuzzy set is the research of language model, The traditional fuzzy set exist great deficiency in the espression of natural language, but the type-2 fuzzy set can remedy the imperfect in great extent,so compare to the type-1 fuzzy set the type-2 one has a better superiority and development space.
  • Keywords
    computational complexity; fuzzy logic; fuzzy set theory; computation complexity; fuzzy set; level set; type-2 fuzzy logic system; Control engineering; Fuzzy logic; Fuzzy set theory; Fuzzy sets; Humans; Level set; Noise shaping; Set theory; Shape; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Semantics, Knowledge and Grid, Third International Conference on
  • Conference_Location
    Shan Xi
  • Print_ISBN
    0-7695-3007-9
  • Electronic_ISBN
    978-0-7695-3007-9
  • Type

    conf

  • DOI
    10.1109/SKG.2007.62
  • Filename
    4438514