• DocumentCode
    3471690
  • Title

    Concept lattices in rough set theory

  • Author

    Yao, Y.Y.

  • Author_Institution
    Dept. of Comput. Sci., Regina Univ., Sask., Canada
  • Volume
    2
  • fYear
    2004
  • fDate
    27-30 June 2004
  • Firstpage
    796
  • Abstract
    An alternative formulation of rough set theory can be developed based on a binary relation between two universes, one is a finite set of objects and the other is a finite set of properties. Rough set approximation operators are defined with respect to the binary relation. Three concept lattices are constructed based on approximation operators. They are different from, but related to, the concept lattice built in formal concept analysis. Through the study of the introduced concept lattices, one can obtain an in-depth understanding of data analysis using rough set theory.
  • Keywords
    data analysis; rough set theory; binary relation; concept lattices; data analysis; rough set approximation operators; Computer science; Data analysis; Lattices; Logic; Rough sets; Set theory; Uniform resource locators;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information, 2004. Processing NAFIPS '04. IEEE Annual Meeting of the
  • Print_ISBN
    0-7803-8376-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2004.1337404
  • Filename
    1337404