• DocumentCode
    837399
  • Title

    Nonstationary Fuzzy Sets

  • Author

    Garibaldi, Jonathan M. ; Jaroszewski, Marcin ; Musikasuwan, Salang

  • Author_Institution
    Sch. of Comput. Sci. & Inf. Technol., Univ. of Nottingham, Nottingham
  • Volume
    16
  • Issue
    4
  • fYear
    2008
  • Firstpage
    1072
  • Lastpage
    1086
  • Abstract
    In this paper, the notion termed a ldquononstationary fuzzy setrdquo is introduced, and the concept of a perturbation function that is used for generating nonstationary fuzzy sets is presented. Definitions of the basic set operators (the union, the intersection, and the complement) for nonstationary fuzzy sets are given, together with proofs of selected properties of these operators. Two case studies were carried out in order to illustrate the use of nonstationary fuzzy sets in a nonstationary fuzzy inference, and to provide an initial insight into the relationships between nonstationary and interval type-2 fuzzy sets.
  • Keywords
    fuzzy set theory; perturbation techniques; nonstationary fuzzy inference; nonstationary fuzzy sets; perturbation function; Computational efficiency; Computer science; Councils; Decision making; Fuzzy sets; Government; Inference algorithms; Information technology; Uncertainty; Nonstationary fuzzy sets; perturbation functions; type-2 fuzzy sets;
  • fLanguage
    English
  • Journal_Title
    Fuzzy Systems, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1063-6706
  • Type

    jour

  • DOI
    10.1109/TFUZZ.2008.917308
  • Filename
    4601106