• DocumentCode
    2386250
  • Title

    Rough Sets and Zadeh´s Extension Principles

  • Author

    Liu, Guilong ; Song, Xiaoli ; Zhao, Xiaoxia

  • Author_Institution
    Beijing Language & Culture Univ., Beijing
  • fYear
    2007
  • fDate
    2-4 Nov. 2007
  • Firstpage
    180
  • Lastpage
    180
  • Abstract
    The notion of a rough set was originally proposed by Pawlak (1982). Later on, there is a fast growing interest in this theory. In this paper we present a more general approach to the generalization of rough sets. Specifically, generalized formulation has been studied by using a binary relation on two universes without any restriction on the cardinality. The algebraic properties of generalized rough sets are given, and the extension principle for crisp sets is explained as the upper approximations of rough sets. The relationship between the extension principle for fuzzy sets and the upper approximations of fuzzy rough sets is investigated.
  • Keywords
    approximation theory; fuzzy set theory; rough set theory; Zadeh extension principle; algebraic property; approximation theory; fuzzy rough set theory; Data mining; Databases; Fuzzy set theory; Fuzzy sets; Pattern recognition; Rough sets; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2007. GRC 2007. IEEE International Conference on
  • Conference_Location
    Fremont, CA
  • Print_ISBN
    978-0-7695-3032-1
  • Type

    conf

  • DOI
    10.1109/GrC.2007.19
  • Filename
    4403090