• DocumentCode
    3260746
  • Title

    Axiomatic approaches of the approximation operation based on rough sets and fuzzy rough sets

  • Author

    Li, XiangPeng ; Dong, Min ; Qing, Liu

  • Author_Institution
    Dept. of Math. & Phys., Wuhan Univ. of Sci. & Eng., Wuhan
  • fYear
    2008
  • fDate
    26-28 Aug. 2008
  • Firstpage
    393
  • Lastpage
    396
  • Abstract
    Rough set theory is an important tool for approximate reasoning about data. Axiomatic systems of rough sets are significant for using rough set theory in logical reasoning systems. In this paper, we propose a unified lower approximation axiomatic system for arbitrary binary relation based generalized rough sets. As the dual of axiomatic systems for lower approximation, a unified upper approximation axiomatic characterization of rough sets is also given. A binary relation can generate a lower approximation operation and an upper approximation operation. We prove that such a binary relation is unique. Furthermore, we can use the same expression to characterize the lower and upper approximations of fuzzy rough sets.
  • Keywords
    equivalence classes; fuzzy set theory; inference mechanisms; rough set theory; approximate reasoning; approximation operation; arbitrary binary relation; axiomatic approach; equivalence relation; fuzzy rough set theory; logical reasoning system; rough set theory; Application software; Character generation; Computer science; Data engineering; Fuzzy reasoning; Fuzzy set theory; Fuzzy sets; Mathematics; Rough sets; Set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2008. GrC 2008. IEEE International Conference on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-2512-9
  • Electronic_ISBN
    978-1-4244-2513-6
  • Type

    conf

  • DOI
    10.1109/GRC.2008.4664641
  • Filename
    4664641