• DocumentCode
    2233742
  • Title

    Combining the Conflicting Belief Functions

  • Author

    Liu Zhun-ga ; Cheng Yong-mei ; Pan Quan ; Miao Zhuang

  • Author_Institution
    Sch. of Autom., Northwestern Polytech. Univ., Xi´an, China
  • fYear
    2009
  • fDate
    26-28 Dec. 2009
  • Firstpage
    3993
  • Lastpage
    3996
  • Abstract
    The classical Dempster-Shafer theory involves counter-intuitive behaviors when the evidence high conflict. In order to solve the problem, a new approach of weighted evidence combination is proposed. Both evidence distance and inconsistent information are considered to evaluate the conflict. Each piece of evidence is given weight coefficient according to its amount of conflict with others. Then two methods are used to modify the belief functions, and the modified functions are combined by DS rule. Numerical example shows the proposed approach can efficiently handle conflicting evidence with good convergence efficiency.
  • Keywords
    belief networks; case-based reasoning; inference mechanisms; Dempster-Shafer theory; belief functions; counter intuitive behavior; evidence distance; evidence theory; inconsistent information; Automation; Convergence of numerical methods; Information science;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Science and Engineering (ICISE), 2009 1st International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-4909-5
  • Type

    conf

  • DOI
    10.1109/ICISE.2009.403
  • Filename
    5455571