• DocumentCode
    460853
  • Title

    Combination of Conflict Evidences Using Grey Association Analysis and D-S Rule

  • Author

    Xu, Guoping ; Tian, Weifeng ; Jin, Zhihua ; Qian, Li

  • Author_Institution
    Dept. of Inf. Meas. Technol. & Instrum., Shanghai Jiao Tong Univ.
  • Volume
    1
  • fYear
    2006
  • fDate
    Nov. 2006
  • Firstpage
    657
  • Lastpage
    661
  • Abstract
    Dempster´s rule of combination, a classical combination rule with several interesting mathematical properties, is widely employed. However, as an inherent problem, Dempster´s rule of combination is incapable of managing the existing conflicts from various information sources at the process of normalization. The conflict management becomes a crucial problem in the operation of combination, especially in the condition of highly conflicting, which leads to produce the illogical result of combination. In this paper, we introduce the idea of grey association analysis (GAA), and propose a new conflict reassignment approach of belief functions, as a preprocessing method, to automatically identify and reassign the conflicts on belief functions before combination. One numerical example is also employed, and through analysis and comparison of the combined results, in comparison with the existing alternatives, the proposed approach can effectively solve the conflicting problem with the best convergence performance
  • Keywords
    belief maintenance; grey systems; inference mechanisms; uncertainty handling; Dempster combination rule; belief functions; conflict evidences; conflict management; conflict reassignment approach; grey association analysis; Convergence of numerical methods; Image processing; Information analysis; Instruments; Performance analysis; Sensor systems and applications; Target recognition; Target tracking; Uncertainty;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational Intelligence and Security, 2006 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    1-4244-0605-6
  • Electronic_ISBN
    1-4244-0605-6
  • Type

    conf

  • DOI
    10.1109/ICCIAS.2006.294217
  • Filename
    4072170