• DocumentCode
    1966907
  • Title

    A Novel Method of Attribute Reduction for Incomplete Information System

  • Author

    Tan, Wendong ; Xu, Eric ; Shi, Feng ; Ren, Yongchang ; Fan, Lijin

  • Author_Institution
    Manage. Sch., Liaoning Tech. Univ., Fuxin, China
  • fYear
    2010
  • fDate
    30-31 Jan. 2010
  • Firstpage
    352
  • Lastpage
    354
  • Abstract
    To reduce attributes in incomplete information system, this paper proposed a direct method based on rough set theory, which gives the concept of tolerance relationship similar matrix via using an extension of equivalence relationship of rough set theory. It solves the problem of inconsistency in the incomplete information system through the introduction of restrictions of the generalized decision function. It calculates attribute significance , the core attributes of incomplete information systems via the tolerance relationship similar matrix. Experiment results show that the algorithm is simple and effective.
  • Keywords
    matrix algebra; rough set theory; attribute reduction; attribute significance; core attributes; decision function; incomplete information system; rough set theory; tolerance relationship; Conference management; Environmental management; Information systems; Information technology; Innovation management; Management information systems; Oceans; Resource management; Set theory; Underwater communication; attribute reduction; incomplete information system; rough set; tolerance relationship similar matrix;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing & Communication, 2010 Intl Conf on and Information Technology & Ocean Engineering, 2010 Asia-Pacific Conf on (CICC-ITOE)
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-5634-5
  • Electronic_ISBN
    978-1-4244-5635-2
  • Type

    conf

  • DOI
    10.1109/CICC-ITOE.2010.95
  • Filename
    5439197