• DocumentCode
    2642978
  • Title

    On using type-1 fuzzy set mathematics to derive interval type-2 fuzzy logic systems

  • Author

    Mendel, Jerry M. ; John, Robert I. ; Liu, Feilong

  • Author_Institution
    Dept. of Electr. Eng., Southern California Univ., Los Angeles, CA, USA
  • fYear
    2005
  • fDate
    26-28 June 2005
  • Firstpage
    528
  • Lastpage
    533
  • Abstract
    In this paper, we demonstrate that it is unnecessary to take the route from general type-2 fuzzy set to interval type-2 fuzzy set, and that all of the results that are needed to implement an interval type-2 fuzzy logic system can be obtained using type-1 fuzzy set mathematics. As such, this paper makes an interval type-2 fuzzy logic system much more accessible to the fuzzy logic community, and we can now develop an interval type-2 fuzzy logic system in a much more straightforward way.
  • Keywords
    fuzzy logic; fuzzy set theory; general type-2 fuzzy set; interval type-2 fuzzy logic systems; interval type-2 fuzzy set; type-1 fuzzy set mathematics; Computational intelligence; Computer science; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Fuzzy systems; Image processing; Mathematics; Signal processing; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2005. NAFIPS 2005. Annual Meeting of the North American
  • Print_ISBN
    0-7803-9187-X
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2005.1548592
  • Filename
    1548592