• DocumentCode
    3424675
  • Title

    An incremental updating principle for computing approximations in information systems while the object set varies with time

  • Author

    Chen, Hongmei ; Li, Tianrui ; Hu, Chengxiang ; Ji, Xiaolan

  • Author_Institution
    Sch. of Inf. Sci. & Technol., Southwest Jiaotong Univ., Chengdu, China
  • fYear
    2009
  • fDate
    17-19 Aug. 2009
  • Firstpage
    49
  • Lastpage
    52
  • Abstract
    Approximations of a concept in the variable precision rough set model will change when an information system varies with time. Usually, it is an effective method to carry out incremental updating approximations by using existing information in the dynamic environment. This paper focuses on the incremental updating principle of computing approximations while objects in information systems dynamically change. The properties of approximations and approaches for updating approximations are provided while objects in the universe evolve over time.
  • Keywords
    approximation theory; data mining; information systems; pattern classification; rough set theory; computing approximations; incremental updating principle; information systems; variable precision rough set model; Error analysis; Fuzzy sets; Information science; Information systems; Rough sets; Set theory;
  • 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.2009.5255157
  • Filename
    5255157