• DocumentCode
    2975005
  • Title

    Mamdani approach to fuzzy control, logical approach, what else?

  • Author

    Bravo, Samuel ; Nava, Jaime

  • Author_Institution
    Dept. Comput. Sci., Univ. of Texas, El Paso, TX, USA
  • fYear
    2011
  • fDate
    18-20 March 2011
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    In fuzzy control, two approaches are mainly used: Mamdani´s approach, in which we represent the knowledge base as a disjunction of statements Ai(x) & Bi(u) corresponding to individual rules, and logical approach, in which the knowledge base is represented as a conjunction of the rules themselves Ai(x) → Bi(u). Both approaches are known not to be perfect, so a natural question arises: what other approaches are possible? In this paper, we describe all possible approaches; alternative approaches use an “exclusive or” operation and correspond, e.g., to the fuzzy transform idea.
  • Keywords
    formal logic; fuzzy control; Mamdani approach; fuzzy control; fuzzy transform; knowledge base; logical approach; Approximation methods; Fuzzy control; Genetic expression; Humans; Silicon; Tin; Transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society (NAFIPS), 2011 Annual Meeting of the North American
  • Conference_Location
    El Paso, TX
  • ISSN
    Pending
  • Print_ISBN
    978-1-61284-968-3
  • Electronic_ISBN
    Pending
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2011.5752024
  • Filename
    5752024