• DocumentCode
    1887007
  • Title

    An attribute fast reduction algorithm based on modified discernable matrix of S-rough sets

  • Author

    Gu, Guo-dong ; Zhang, Yong-Shun ; Hu, Jun-hong ; Shen, Kai

  • Author_Institution
    Missile Inst., Air Force Eng. Univ., Sanyuan
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    366
  • Lastpage
    368
  • Abstract
    To the information system which possesses dynamic characteristic, the discernable matrix of S-rough set is put forward based on S-rough set attribute transfer theory, and a new fast attribute reduction algorithm is presented based on discernable matrix of S-rough set in this paper. The algorithm makes up the localization of Z.Pawlak rough set theory in disposing dynamic system knowledge discovery, the incomplete information system is extended by attribute transfer, then reduction rules can be obtained simply; as a result, the algorithm complexity is reduced greatly.
  • Keywords
    computational complexity; data mining; matrix algebra; rough set theory; algorithm complexity; attribute fast reduction algorithm; dynamic characteristics; dynamic system knowledge discovery; information system; modified discernable matrix of S-rough set; reduction rules; transfer theory; Decision making; Fuzzy set theory; Information systems; Mathematics; Missiles; Rough sets; Set theory; S-rough set; attribute reduction; attribute transfer; discernable matrix; rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on
  • Conference_Location
    Taizhou
  • Print_ISBN
    978-1-4244-3987-4
  • Type

    conf

  • DOI
    10.1109/IASP.2009.5054610
  • Filename
    5054610