• DocumentCode
    552477
  • Title

    Reduction of rough approximation space based on matroid

  • Author

    Zhang, Shao-pu ; Wang, Xiao-Feng ; Feng, Tao ; Feng, Lin

  • Author_Institution
    Dept. of Math. & Phys., Shijiazhuang Tiedao Univ., Shijiazhuang, China
  • Volume
    1
  • fYear
    2011
  • fDate
    10-13 July 2011
  • Firstpage
    267
  • Lastpage
    272
  • Abstract
    In this paper, we firstly review the definitions and matrix representations of a special pair of upper and lower approximation operators generated by a reflexive and transitive binary relation. Then the matroid generated by the reflexive and transitive binary relation of rough approximation space and its properties are discussed. Simultaneously, we consider how to generate a rough approximation space by a matroid (satisfying ∀X ⊆ U, ∀y ϵ X, if x ∉ d(y) or y ∉ d(x), then |d(X∪{x})| = |d(X)|+|d(x)|), and we get that the special upper approximation operator equals to the closure operator in the matroid. Moreover, we give the axiomatization characterization of the rough approximation operators. Finally, we give an algorithm to reduce the information system using the definitions of matroid.
  • Keywords
    approximation theory; combinatorial mathematics; matrix algebra; axiomatization characterization; information system; lower approximation operators; matrix representations; matroid; reflexive binary relation; rough approximation operators; rough approximation space reduction; transitive binary relation; upper approximation operators; Bismuth; Legged locomotion; Approximation operators; Closure operator; Matroid; Reduction; Reflective and transitive binary relation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
  • Conference_Location
    Guilin
  • ISSN
    2160-133X
  • Print_ISBN
    978-1-4577-0305-8
  • Type

    conf

  • DOI
    10.1109/ICMLC.2011.6016728
  • Filename
    6016728