• DocumentCode
    444012
  • Title

    The quotient structure in granule computing

  • Author

    Zhao, Shu ; Zhang, Yan-ping ; Zhang, Ling ; Chen, Jie ; Wan, Zhong ; Zhang, Ying-Chun ; Zhang, Chen-Xi

  • Author_Institution
    Key lab. of Intelligent Comput. & Signal Process. of Ministry of Educ., Anhui Univ., Hefei, China
  • Volume
    1
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    359
  • Abstract
    The theory of granule computing based on the quotient space is one of the three main granule computing theories. The emphasis is on the structure of the quotient space theory in this paper. Comparing with rough set theory, the authors point out the importance of the structure in granule computing theory. A new method of constructing quotient space according to the structure is also presented in this paper. The differences between the quotient structure and structure-based method are proved. Finally, some examples show the rationality and feasibility of our methods.
  • Keywords
    problem solving; rough set theory; granule computing theory; problem solving; quotient space theory; quotient structure; rough set theory; Artificial intelligence; Cognitive science; Expert systems; Humans; Problem-solving; Set theory; Signal processing; Switches; Switching circuits; Technological innovation; granule computing; quotient space theory; quotient structure; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9017-2
  • Type

    conf

  • DOI
    10.1109/GRC.2005.1547304
  • Filename
    1547304