• DocumentCode
    2913630
  • Title

    A grey rough set model based on (α,β) grey similarity relation

  • Author

    Shunxiang, Wu ; Zhiyong, Huang ; Delin, Luo ; Sifeng, Liu

  • Author_Institution
    Xiamen Univ., Xiamen
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    903
  • Lastpage
    909
  • Abstract
    Combining the methods of rough set theory and grey system theory and by introducing the grey number concept, the conventional incomplete information system method is extended and a kind of (alpha, beta)-grey similarity relation GSIM(alpha, beta) of grey information system is proposed, then the model of grey rough set based on the (alpha, beta)-grey similarity relation is established and investigation is made in the related foundational theories. Methods are proposed to describe the positive, boundary and negative regions and the reduction of grey decision-making table in the grey rough set by the recognition degree mode of grey theory, and a solution to the problem of incoherence is brought forward in the grey decision-making table from the angle of recognition degree mode. Example shows that this kind of model is more intuitive and rational. It breaks through the limitation of the study on conventional rough set theory which is restricted to the classic relations.
  • Keywords
    decision making; grey systems; rough set theory; grey decision making table; grey number concept; grey similarity relation; grey system theory; incomplete information system; rough set theory; Control engineering education; Control systems; Data mining; Decision making; Information systems; Intelligent systems; Measurement errors; Set theory; Technological innovation; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443404
  • Filename
    4443404