• DocumentCode
    3233665
  • Title

    Probabilistic intuitionistic fuzzy rule based controller

  • Author

    Agarwal, M. ; Biswas, K.K. ; Hanmandlu, M.

  • Author_Institution
    Indian Inst. of Technol., New Delhi, India
  • fYear
    2011
  • fDate
    6-8 Dec. 2011
  • Firstpage
    214
  • Lastpage
    219
  • Abstract
    This paper explores the connections between intuitionistic fuzzy logic and probability to discover the potential of the combination of these two forms of uncertainty in modeling of the real world events. We have defined intuitionistic fuzzy set on probabilistic spaces and discussed its links with evidence theory. The notion of probabilistic intuitionistic fuzzy rule is also introduced. An approach is devised to compute the net conditional possibility for such rules that can form the basis to extend the existing fuzzy models. The proposed approach is illustrated through a case-study.
  • Keywords
    fuzzy control; fuzzy set theory; probabilistic logic; probability; conditional possibility; evidence theory; intuitionistic fuzzy set; probabilistic intuitionistic fuzzy rule based controller; probabilistic spaces; probability; Clouds; Fuzzy logic; Fuzzy sets; Probabilistic logic; Rain; Uncertainty; Valves; decision making; fuzzy rules; inuitionisitc; possibility; probabilistic; probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation, Robotics and Applications (ICARA), 2011 5th International Conference on
  • Conference_Location
    Wellington
  • Print_ISBN
    978-1-4577-0329-4
  • Type

    conf

  • DOI
    10.1109/ICARA.2011.6144884
  • Filename
    6144884