• DocumentCode
    2181898
  • Title

    Research of Granularity Pair and Dynamic Hierarchical Algorithm

  • Author

    Liu, Chunfeng ; Feng, Li

  • Author_Institution
    Coll. of Sci., Hebei Polytech. Univ., Tangshan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    190
  • Lastpage
    193
  • Abstract
    The uncertainty of the border leads to the dynamics of granularity pair. In order to characterize the dynamic trend that the difference degree is close to the identity degree, the confidence threshold is introduced. Based on the positive correlation between the confidence threshold and the border of granularity pair, this paper proposes a new algorithm for dynamic hierarchy. The example shows that the algorithm is feasible.
  • Keywords
    artificial intelligence; granular computing; set theory; confidence threshold; dynamic hierarchical algorithm; granularity pair; Algorithm design and analysis; Approximation methods; Computational modeling; Global warming; Heuristic algorithms; Presses; Uncertainty; border; confidence threshold; dynamics; granularity pair; uncertain system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Design (ISCID), 2010 International Symposium on
  • Conference_Location
    Hangzhou
  • Print_ISBN
    978-1-4244-8094-4
  • Type

    conf

  • DOI
    10.1109/ISCID.2010.65
  • Filename
    5692696