• DocumentCode
    2418168
  • Title

    Super-Exponential Convergence of the Karnik-Mendel Algorithms Used for Type-reduction in Interval Type-2 Fuzzy Logic Systems

  • Author

    Mendel, Jerry M. ; Liu, Feilong

  • Author_Institution
    Univ. of Southern California, Los Angeles
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1253
  • Lastpage
    1260
  • Abstract
    Computing the centroid of an interval T2 FS is an important operation in a type-2 fuzzy logic system (where it is called type-reduction), but it is also a potentially time-consuming operation. The Karnik-Mendel (KM) iterative algorithms are widely used for doing this. In this paper we prove that these algorithms converge monotonically and super-exponentially fast. Both properties are highly desirable for iterative algorithms and explain why in practice the KM algorithms have been observed to converge very fast, thereby making them very practical to use.
  • Keywords
    convergence of numerical methods; fuzzy logic; fuzzy set theory; fuzzy systems; iterative methods; type theory; Karnik-Mendel iterative algorithm; fuzzy set theory; interval type-2 fuzzy logic systems; super-exponential convergence; type-reduction; Computer simulation; Convergence; Extraterrestrial measurements; Frequency selective surfaces; Fuzzy logic; Fuzzy sets; Image processing; Iterative algorithms; Measurement uncertainty; Signal processing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems, 2006 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    0-7803-9488-7
  • Type

    conf

  • DOI
    10.1109/FUZZY.2006.1681870
  • Filename
    1681870