• DocumentCode
    559870
  • Title

    Extended Rough Set Model Based on Prior Probability and Valued Tolerance Relation

  • Author

    Zhao, Jinchao ; Xu, Jin

  • Author_Institution
    Sch. of Comput. & Commun. Eng., Zhengzhou Univ. of Light Ind., Zhengzhou, China
  • Volume
    1
  • fYear
    2011
  • fDate
    24-25 Sept. 2011
  • Firstpage
    237
  • Lastpage
    240
  • Abstract
    Based on equivalence relation, the classical rough set theory is unable to deal with incomplete information systems. In this case, an extended rough set model based on valued tolerance relation and prior probability obtained from incomplete information systems is firstly presented in this paper. As a part of the model, the corresponding discernibility matrix and an attribute reduction of incomplete information system are then proposed. Finally, the extended rough set model and the proposed attribute reduction algorithm are verified under an incomplete information system. Example analysis shows the improved tolerance relation model and the proposed attribute reduction algorithm can deal with incomplete information system effectively.
  • Keywords
    information systems; matrix algebra; probability; rough set theory; attribute reduction algorithm; discernibility matrix; equivalence relation; extended rough set model; incomplete information system; prior probability; valued tolerance relation; Adaptation models; Algorithm design and analysis; Computers; Educational institutions; Information systems; Probability distribution; Rough sets; Attribute reduction; discernibility matrix; incomplete information system; prior probability; rough set;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Conference on
  • Conference_Location
    Nanjing, Jiangsu
  • Print_ISBN
    978-1-4577-1419-1
  • Type

    conf

  • DOI
    10.1109/ICM.2011.261
  • Filename
    6113400