• DocumentCode
    3117372
  • Title

    Granular computing: A theory of “divide/granulate and conquer“

  • Author

    Lin, Tsau Young

  • Author_Institution
    Dept. of Comput. Sci., San Jose State Univ., San Jose, CA
  • fYear
    2008
  • fDate
    12-15 Oct. 2008
  • Firstpage
    2747
  • Lastpage
    2752
  • Abstract
    In this paper, foundational issues on ldquodivide/granulate and conquerrdquo are raised and formalized. Namely, could two distinct problems be divided/granulated into the same set of subproblems? Or equivalently, could the same set of subproblems have more than one integrated solutions? To answer these questions, the concept of extension functors in homological algebra is imported. Informally speaking, the ldquomain programrdquo (the high level instructions), called quotient structure, may integrate the ldquoreturns of subroutine calls,rdquo called sub-structure to more than one integrated solutions of the original problem. The extension functor keeps such solution count.
  • Keywords
    algebra; divide and conquer methods; knowledge engineering; divide and conquer; granular computing; granulate and conquer; homological algebra; Algebra; Algorithms; Cloud computing; Computer science; Fuzzy sets; Grid computing; Humans; Knowledge engineering; Neck; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2008. SMC 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • ISSN
    1062-922X
  • Print_ISBN
    978-1-4244-2383-5
  • Electronic_ISBN
    1062-922X
  • Type

    conf

  • DOI
    10.1109/ICSMC.2008.4811712
  • Filename
    4811712