• DocumentCode
    3315460
  • Title

    Optimised Generalised Type-2 Join and Meet Operations

  • Author

    Greenfield, Sarah ; John, Robert

  • Author_Institution
    De Montfort Univ., Leicester
  • fYear
    2007
  • fDate
    23-26 July 2007
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    The inferencing stage of a type-2 fuzzy inferencing system is driven by join and meet operations. As conventionally implemented these algorithms are computationally complex. This article introduces optimised implementations for these operations. These alternative procedures pre-suppose that the grid method of discretisation is adopted. Time comparisons between the alternative and conventional implementations have been undertaken, for join and meet operations coded firstly in isolation, and secondly, within a full prototype type-2 fuzzy inferencing system. The experimental results show that the optimisation affords marked time reduction, particularly under finer discretisation.
  • Keywords
    decision making; fuzzy set theory; inference mechanisms; decision making program; grid method; type-2 fuzzy inferencing system; Computational complexity; Computational intelligence; Fuzzy logic; Fuzzy sets; Fuzzy systems; Geometry; Inference algorithms; Prototypes; Sampling methods; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems Conference, 2007. FUZZ-IEEE 2007. IEEE International
  • Conference_Location
    London
  • ISSN
    1098-7584
  • Print_ISBN
    1-4244-1209-9
  • Electronic_ISBN
    1098-7584
  • Type

    conf

  • DOI
    10.1109/FUZZY.2007.4295355
  • Filename
    4295355