• DocumentCode
    1597441
  • Title

    An Effective Combination Rule When Evidence Conflict

  • Author

    Li, Fei ; Wang, Xiaofeng

  • Author_Institution
    Dept. of Comput. Sci., Shanghai Maritime Univ., Shanghai, China
  • Volume
    2
  • fYear
    2011
  • Firstpage
    11
  • Lastpage
    14
  • Abstract
    Theory of evidence is a kind of effective treatment methods for uncertain information fusion. However there will be problems in the fusion results based on the classical D-S combination when the evidence serious conflict or completely conflict. This paper proposes a kind of effective combination of fusion conflict evidence. At first a distance function was introduced. Then the similarity of evidence was said by the similarity functions and through the normalization got the support of evidence as the weight of evidence. Finally to realize recycling information fusion by the average weight and classic combination rule.
  • Keywords
    inference mechanisms; sensor fusion; uncertainty handling; Dempster-Shafer evidence combination; combination rule; distance function; evidence similarity; evidence theory; evidence weight; fusion conflict evidence; information fusion; Cognition; Computer science; Convergence; Educational institutions; Electronic mail; Information science; Millimeter wave technology; combination rule; conflict evidence; similarity function;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2011 International Conference on
  • Conference_Location
    Zhejiang
  • Print_ISBN
    978-1-4577-0676-9
  • Type

    conf

  • DOI
    10.1109/IHMSC.2011.73
  • Filename
    6038203