• DocumentCode
    2892914
  • Title

    A Relation Decision System and its Properties

  • Author

    Wang, Chang-zhong ; Wu, Cong-Xin ; Chen, De-Gang

  • Author_Institution
    Dept. of Math., Harbin Inst. of Technol.
  • fYear
    2006
  • fDate
    13-16 Aug. 2006
  • Firstpage
    2257
  • Lastpage
    2262
  • Abstract
    The generalized rough set theory based on binary relations is the improvement of Pawlak´s rough set theory to deal with more complex practical problems which the latter one can not easily handle. For a given generalized approximation space, there are two traditional forms of definition of the lower approximation, it is important to reveal the inner relationship between the two definition forms. On the other hand, in many cases, people have to make decisions in practical problems based on binary relations. Therefore, it is also necessary to generalize a decision system in Pawlak´ rough set theory. In this paper, the concept of a relation decision system is firstly introduced by generalizing a decision system in Pawlak´ rough set theory. By the revisions of the traditional concepts, this paper then presents the essential relationship between the two forms of definition of the lower approximation and obtains some useful properties for a relation decision system
  • Keywords
    decision making; equivalence classes; rough set theory; approximation space; binary relation; relation decision system; rough set theory; Cybernetics; Data mining; Fuzzy sets; Information systems; Machine learning; Mathematics; Physics; Rough sets; Set theory; Rough sets; binary relations; generalized rough sets; lower approximation; relation decision systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2006 International Conference on
  • Conference_Location
    Dalian, China
  • Print_ISBN
    1-4244-0061-9
  • Type

    conf

  • DOI
    10.1109/ICMLC.2006.258669
  • Filename
    4028440