• DocumentCode
    3124678
  • Title

    Type-2 fuzzy functional inference method

  • Author

    Seki, Hirosato ; Mizumoto, Masaharu

  • Author_Institution
    Dept. of Technol. Manage., Osaka Inst. of Technol., Osaka, Japan
  • fYear
    2011
  • fDate
    27-30 June 2011
  • Firstpage
    1208
  • Lastpage
    1212
  • Abstract
    This paper proposes a type-2 fuzzy functional inference method which extends fuzzy sets of the antecedent parts to type-2 fuzzy sets. This paper next explains that the type-2 fuzzy functional inference method can be classified to the three models: Model 1 is most common method, and Model 2 is a special case of Model 1. We show that the inference results of both Models 1 and 2 can be easily obtained from the area of fuzzy sets of the consequent parts and center of gravity. Moreover, we state that Model 3 can obtain different results compared with the simplified fuzzy inference method and T-S inference method.
  • Keywords
    fuzzy set theory; inference mechanisms; T-S inference method; type-2 fuzzy functional inference method; type-2 fuzzy sets; Bismuth; Frequency modulation; Fuzzy control; Fuzzy sets; Gravity; Neural networks; T-S inference method; Type-2 fuzzy inference; fuzzy function; fuzzy functional inference method; internval type-2 fuzzy sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2011 IEEE International Conference on
  • Conference_Location
    Taipei
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-7315-1
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2011.6007715
  • Filename
    6007715