• DocumentCode
    2754701
  • Title

    New closed-form solutions for Karnik-Mendel algorithm+defuzzification of an interval type-2 fuzzy set

  • Author

    Mendel, Jerry M. ; Xinwang Liu

  • Author_Institution
    Signal & Image Process. Inst., Univ. of Southern California, Los Angeles, CA, USA
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    Karnik-Mendel (KM) algorithms used for type reduction (TR) followed by defuzzification are commonly used in interval type-2 fuzzy logic systems (IT2 FLSs). Up until now no closed-form solution has existed for KM+defuzzification. Our paper gives, for the first time, a Taylor-series approximation to KM+defuzzification. The first term in the approximation is the Nie-Tan (NT) formula, and the second-term (which is actually the third-order term in the Taylor series) is a correction to it. One very interesting fact is that the Taylor series approximation is itself iterative (as is the KM Algorithm) in that the second term depends on the first term. Simulations show that the first term is a very good approximation to KM+defuzzification.
  • Keywords
    approximation theory; fuzzy logic; fuzzy set theory; IT2 FLS; KM algorithms; Karnik-Mendel algorithm+defuzzification; NT; Nie-Tan formula; TR; Taylor series approximation; Taylor-series approximation; closed-form solution; closed-form solutions; interval type-2 fuzzy logic systems; interval type-2 fuzzy set; type reduction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
  • Conference_Location
    Brisbane, QLD
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4673-1507-4
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZ-IEEE.2012.6251286
  • Filename
    6251286