• DocumentCode
    2676015
  • Title

    Uncertain information clustering based on distance between BPAs

  • Author

    Li, Ya ; Zhang, Yajuan ; Wei, Daijun ; Deng, Yong

  • Author_Institution
    Sch. of Comput. & Inf. Sci., Southwest Univ., Chongqing, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    3985
  • Lastpage
    3988
  • Abstract
    It is necessary to cluster the information according to their sources when analyzing multi-source information. In this paper, a new evidential clustering method is proposed. In the proposed method, pairwise distance between BPAs have been introduced to form a matrix for clustering. The clustering method is based on vector which is transformed from distance matrix. Illustrative example with several sets demonstrate the validity of the proposed method as compared to other methods.
  • Keywords
    case-based reasoning; matrix algebra; pattern clustering; probability; uncertainty handling; BPA; Dempster-Shafer theory; basic probability assignments; distance matrix; evidential clustering method; multisource information; pairwise distance; uncertain information clustering; Clustering algorithms; Computers; Educational institutions; Measurement; Sensors; Symmetric matrices; Vectors; Clustering; Dempster-Shafer theory; Distance between BPAs;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244634
  • Filename
    6244634