• DocumentCode
    3421470
  • Title

    Approaches for incrementally updating approximations based on set-valued information systems while attribute values´ coarsening and refining

  • Author

    Zou, Weili ; Li, Tianrui ; Chen, Hongmei ; Ji, Xiaolan

  • Author_Institution
    Sch. of Math., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    824
  • Lastpage
    829
  • Abstract
    Incrementally updating approximations in rough set theory may contribute to enhancement of the efficiency of knowledge discovery. This paper firstly introduces the definitions of attribute values´ coarsening and refining in set-valued information systems. Then the approach for incrementally updating approximations of a concept is presented while attribute values coarsening and refining. Finally, an example is presented to illustrate the validity of the proposed approach.
  • Keywords
    data mining; information systems; rough set theory; attribute values coarsening and refining; concept approximations; knowledge discovery; rough set theory; set-valued information systems; Data analysis; Information science; Information systems; Machine learning; Mathematics; Pattern recognition; Rough sets; Set theory; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Granular Computing, 2009, GRC '09. IEEE International Conference on
  • Conference_Location
    Nanchang
  • Print_ISBN
    978-1-4244-4830-2
  • Type

    conf

  • DOI
    10.1109/GRC.2009.5255006
  • Filename
    5255006