• DocumentCode
    2097153
  • Title

    Granularity-Wise Separations in Covering Approximation Spaces with Some Approximation Operators

  • Author

    Ge, Xun

  • Volume
    2
  • fYear
    2008
  • fDate
    20-22 Dec. 2008
  • Firstpage
    303
  • Lastpage
    306
  • Abstract
    This paper investigates a question for covering approximation spaces posed by Y. Ge and obtains some characterizations of granularity-wise separations in covering approximation spaces with approximation operators C2 and C2 (in the sense of K. Qin, Y. Gao and Z. Pei), These results will be helpful to give further applications of Pawlak rough set theory in pattern recognition and artificial intelligence.
  • Keywords
    approximation theory; mathematical operators; rough set theory; Pawlak rough set theory; approximation operators; artificial intelligence; covering approximation spaces; granularity-wise separation; pattern recognition; Artificial intelligence; Computer science; Data mining; Educational institutions; Logic; Mathematics; Pattern recognition; Set theory; Space technology; covering approximation space; granularity-wise separation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Computational Technology, 2008. ISCSCT '08. International Symposium on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4244-3746-7
  • Type

    conf

  • DOI
    10.1109/ISCSCT.2008.18
  • Filename
    4731626
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=2097153