• DocumentCode
    1605413
  • Title

    Granular computing on covering from the aspects of knowledge theory

  • Author

    Barot, Rushin B. ; Lin, T.Y.

  • Author_Institution
    San Jose State Univ., San Jose, CA
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Rough Set theory assumes the underlying structure of knowledge is a partition; each equivalence class represents a piece of basic knowledge. In this paper, we assumes a covering is a basic knowledge. From which the theories of learning, knowledge approximations and knowledge reduction are developed.
  • Keywords
    approximation theory; equivalence classes; learning (artificial intelligence); rough set theory; equivalence class; granular computing; knowledge approximation; knowledge reduction; learning theory; rough set theory; Approximation methods; Computer science; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Information Processing Society, 2008. NAFIPS 2008. Annual Meeting of the North American
  • Conference_Location
    New York City, NY
  • Print_ISBN
    978-1-4244-2351-4
  • Electronic_ISBN
    978-1-4244-2352-1
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531346
  • Filename
    4531346
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1605413