• DocumentCode
    2419990
  • Title

    Approximated Type-2 Fuzzy Set Operations

  • Author

    Tahayori, Hooman ; Tettamanzi, Andrea G B ; Antoni, Giovanni Degli

  • Author_Institution
    Univ. degli Studi di Milano, Milan
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    1910
  • Lastpage
    1917
  • Abstract
    Type-2 fuzzy sets, an elaboration over type-1 fuzzy sets, are an interesting method for handling uncertainty in rules and parameters in fuzzy systems. However, their adoption has not been as wide as one could have expected. In this paper we provide a simple introduction to type-2 fuzzy sets; then we propose a novel method for calculating operations on type-2 fuzzy sets with normal type-1 membership values, for which we redefine set ordering. Finally, based on the max ordering of fuzzy set and highest degree of separation, we propose an approximation for performing the operations, which ensures that the calculation is accurate for the most important parts of the membership values.
  • Keywords
    fuzzy set theory; uncertainty handling; approximated type-2 fuzzy set operations; redefine set ordering; type-1 membership values; uncertainty handling; Decision making; Educational institutions; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Genetic mutations; Humans; Mathematics; Set theory; Uncertainty;
  • 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.2006.1681965
  • Filename
    1681965