• DocumentCode
    2037787
  • Title

    Rough approximations of intuitionistic fuzzy sets in crisp approximation spaces

  • Author

    Wu, Wei-Zhi ; Xu, You-Hong

  • Author_Institution
    Sch. of Math., Phys. & Inf. Sci., Zhejiang Ocean Univ., Zhoushan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    10-12 Aug. 2010
  • Firstpage
    309
  • Lastpage
    313
  • Abstract
    The primitive notions in rough set theory are lower and upper approximation operators defined by a fixed binary relation and satisfy many interesting properties. Many types of generalized rough set models have been developed in the literature. This paper presents a general framework for the study of rough intuitionistic fuzzy sets in which intuitionistic fuzzy sets are approximated with respect to a crisp approximation space. A pair of lower and upper rough intuitionistic fuzzy approximation operators are first defined. Properties of rough intuitionistic fuzzy approximations are then examined. The relationships between special types of crisp binary relations and properties of rough intuitionistic fuzzy approximation operators are further established.
  • Keywords
    approximation theory; fuzzy set theory; rough set theory; approximation operators; crisp approximation spaces; fixed binary relation; intuitionistic fuzzy sets; primitive notions; rough approximations; rough intuitionistic fuzzy approximations; rough set theory; Approximation methods; Data models; Fuzzy sets; Information systems; Radio frequency; Rough sets; Approximation operators; Fuzzy sets; Intuitionistic fuzzy sets; Rough intuitionistic fuzzy sets; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2010 Seventh International Conference on
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-5931-5
  • Type

    conf

  • DOI
    10.1109/FSKD.2010.5569662
  • Filename
    5569662