• DocumentCode
    2080884
  • Title

    An improved algorithm for Dempster-Shafer theory of evidence

  • Author

    Ye, Qing ; Wu, Xiaoping ; Zhai, Dingjun

  • Author_Institution
    Coll. of Electron. Eng., Naval Univ. of Eng., Wuhan, China
  • Volume
    1
  • fYear
    2008
  • fDate
    17-19 Nov. 2008
  • Firstpage
    13
  • Lastpage
    18
  • Abstract
    The computational complexity of reasoning within the Dempster-Shafer theory of evidence is one of the major points of criticism this formalism has to face. Various approximation algorithms have been suggested that aim at overcoming this difficulty. This paper presents an improved practical algorithm through reducing the number of focal elements in the belief function involved. In this proposed algorithm, all focal elements of every piece of evidence are classified into dereliction and remainder, and the basic probability assignments of those derelictions are reassigned to the remainders when they are correlative or the dereliction is nested to the remainder. Furthermore, the effect of the dereliction is considered well to influence the combination in this paper, and the computation and accuracy is taken into account to develop this proposed algorithm. Finally, an illustrative example shows that the improved practical algorithm is effective and feasible through comparing with other approximations.
  • Keywords
    belief networks; case-based reasoning; computational complexity; inference mechanisms; Dempster-Shafer theory of evidence; basic probability assignments; belief function; computational complexity; Approximation algorithms; Computational complexity; Computational intelligence; Educational institutions; Fault diagnosis; Intelligent systems; Knowledge engineering; Signal processing algorithms; Target recognition; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-2196-1
  • Electronic_ISBN
    978-1-4244-2197-8
  • Type

    conf

  • DOI
    10.1109/ISKE.2008.4730891
  • Filename
    4730891