• DocumentCode
    3430561
  • Title

    Matroidal structure of covering rough sets based on multigranulation

  • Author

    Huang, Jing ; Zhu, William

  • Author_Institution
    Department of Mathematics, Zhangzhou normal University, 363000, China
  • fYear
    2012
  • fDate
    11-13 Aug. 2012
  • Firstpage
    195
  • Lastpage
    200
  • Abstract
    Multigranulation rough sets provide an effective way to extend the classical rough sets based on single granulation to multigranulation. Covering rough set is a generalisation of classical rough set. This paper extends single granulation matroid to multigranulation matroid based on covering rough set. On one hand, we construct a multigranulation matroid through union of several independent sets. Then we define a multigranulation rank function from many single granulation rank functions. Moreover, a pair of multigranulation matroid approximation operators are described by the multigranulation rank function and properties of these approximation operators are studied. We present the relationship between the multi-granulation matroid approximations and the multigranulation approximations in rough set model. On the other hand, we propose a dual multigranulation matroid. Furthermore, the multigranulation rank function and multigranulation approximation operator of the dual multigranulation matroid are obtained.
  • Keywords
    Approximation methods; Artificial intelligence; Approximation operators; Matroid; Multigranulation; Rough sets;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing (GrC), 2012 IEEE International Conference on
  • Conference_Location
    Hangzhou, China
  • Print_ISBN
    978-1-4673-2310-9
  • Type

    conf

  • DOI
    10.1109/GrC.2012.6468577
  • Filename
    6468577