• DocumentCode
    444004
  • Title

    Knowledge reduction approach via quadratic entropy

  • Author

    Yan, Gao ; Sun, Shibao ; Qin, Keyun

  • Author_Institution
    Henan Polytech. Univ., China
  • Volume
    1
  • fYear
    2005
  • fDate
    25-27 July 2005
  • Firstpage
    322
  • Abstract
    Quadratic entropy is a measure of information involved in an information system. This paper is devoted to the discussion reduction approach of information systems based on quadratic entropy. The relationship among some kinds of consistent sets was investigated. It is proved that distribution consistent subsets of attributes are quadratic entropy consistent sets and quadratic entropy consistent sets are distribute consistent sets and hence positive region consistent sets.
  • Keywords
    data mining; decision tables; information systems; rough set theory; distribute consistent set; information system; knowledge reduction; quadratic entropy; rough set; Information entropy; Information systems; Intelligent systems; Rough sets; Set theory; Sun; Rough set; information system; knowledge reduction; quadratic entropy;
  • 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.2005.1547295
  • Filename
    1547295