• DocumentCode
    1605537
  • Title

    Granular Computing: Information hiding and integration

  • Author

    Lin, Tsau Young

  • Author_Institution
    San Jose State Univ., San Jose, CA
  • fYear
    2008
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Granular compuitng have three semnatic views: uncertainty mathematics, konwledge engineeering and methodology of computing (how-to-solve-it) In this paper, a theoretical issue on "how-to-solve-it" is raised and formalized. Some suprised phenomena are observed; if "information structures" are considered with the universe and granules, then the solution integrations may not be unique. In other words, there may have more than one integrated structures for a given internal structures of granules and quotient structure.
  • Keywords
    artificial intelligence; data encapsulation; granular computing; information hiding; information integration; knowledge engineering; uncertainty mathematics; Algebra; Biological system modeling; Calculus; Geometry; Humans; Mathematics; Neck; Terminology; Uncertainty; Zoology;
  • 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
  • Type

    conf

  • DOI
    10.1109/NAFIPS.2008.4531352
  • Filename
    4531352