• DocumentCode
    1605076
  • Title

    Extension of the Sugeno Integral with Interval Type-2 Fuzzy Logic

  • Author

    Mendoza, O. ; Melin, P.

  • Author_Institution
    Sch. of Eng., Univ. of Baja California, Tijuana
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper presents a generalization of the Sugeno Integral with Interval Type-2 Fuzzy Logic. The generalization includes modifying the original equations of the Sugeno Measures and Sugeno Integral, initially proposed only for Type-1 Fuzzy Logic. The new interval Type-2 fuzzy logic equations enable calculation of the interval Type-2 Sugeno Integral for combining multiple source of information. Preliminary results show that the interval Type-2 Sugeno integral is able to improve uncertainty management in decision problems.
  • Keywords
    decision theory; fuzzy logic; fuzzy set theory; integral equations; type theory; Sugeno integral; decision theory; fuzzy set theory; interval type-2 fuzzy logic; uncertainty management; Fuzzy logic; Fuzzy sets; Image edge detection; Image recognition; Information resources; Integral equations; Neural networks; Pattern recognition; Training data; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531333
  • Filename
    4531333