• DocumentCode
    2150592
  • Title

    Approximate Reasoning Based on Upper Approximation

  • Author

    Lin, Yan ; Zhansheng, Mou ; Fuyou, Li ; Jinjin, Liu ; Zidong, Zhang

  • Author_Institution
    Coll. of Comput. & Inf. Technol., Henan Normal Univ., Xinxiang, China
  • fYear
    2010
  • fDate
    14-16 Aug. 2010
  • Firstpage
    320
  • Lastpage
    325
  • Abstract
    In order to investigate the approximate information contained in upper approximation, a mathematical structure called a tree-approximate space is defined, which is an extension of an approximate space in rough set theory. By integrating upper approximation with a tree in the tree-approximate space, approximate reasoning is introduced. It establishes connections between vertices, and can determine whether a vertex approximately deduces another. Making researches on approximate reasoning, some properties are obtained, which show that approximate reasoning not only preserves the connections between vertices induced by accurate information, but also extends the connections. This indicates that the approximate information contained in upper approximation can be developed by a reasoning approach. Besides, as a mathematical structure, a tree-approximate space with approximate reasoning can be used to model practical problems.
  • Keywords
    rough set theory; trees (mathematics); approximate reasoning; mathematical structure; rough set theory; tree approximate space; upper approximation; Approximation methods; Business; Cognition; Conferences; Lead; Set theory; Space technology; T-successor set; approximate reasoning; tree-approximate space;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2010 IEEE International Conference on
  • Conference_Location
    San Jose, CA
  • Print_ISBN
    978-1-4244-7964-1
  • Type

    conf

  • DOI
    10.1109/GrC.2010.59
  • Filename
    5576277