• DocumentCode
    2765786
  • Title

    Algebraic Method of the Theory of Rough Sets over Two Universes

  • Author

    Shen, Yonghong ; Gao, Zhongshe ; Wang, Sanfu

  • Author_Institution
    Sch. of Math. & Stat., Tianshui Normal Univ., Tianshui, China
  • Volume
    7
  • fYear
    2009
  • fDate
    14-16 Aug. 2009
  • Firstpage
    16
  • Lastpage
    20
  • Abstract
    Algebraic method is one of important ways in the study of rough sets theory. One may profoundly understand the algebraic structure of approximation operator through this method research. In this paper, the related concepts with respect to Pawlak approximation space are briefly recalled. Then, the concepts of generalized approximation space and generalized approximation operators are firstly proposed, and the binary relation, defined over two universes, is reviewed. Afterwards, the relations of the binary relation and the approximation operator are discussed. On one hand, one can see that a binary relation, which satisfied some specific conditions, may determine the special property of the approximation operator. On the other hand, one defines a pair of dual approximation operators over two universes and states the axioms that those must satisfy, these axioms may sufficiently guarantee the existence of certain types of binary relations over two universes.
  • Keywords
    algebra; approximation theory; rough set theory; Pawlak approximation space; algebraic method; generalized approximation operators; generalized approximation space; rough sets theory; Artificial intelligence; Data analysis; Data mining; Expert systems; Fuzzy systems; Machine learning; Mathematics; Rough sets; Set theory; Statistics; generalized approximation operator; generalized approximation space; induced binary relation; reverse serial; serial;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-0-7695-3735-1
  • Type

    conf

  • DOI
    10.1109/FSKD.2009.289
  • Filename
    5359937