• DocumentCode
    1379172
  • Title

    On the Dempster-Shafer evidence theory and non-hierarchical aggregation of belief structures

  • Author

    Bhattacharya, Prabir

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Nebraska Univ., Lincoln, NE, USA
  • Volume
    30
  • Issue
    5
  • fYear
    2000
  • fDate
    9/1/2000 12:00:00 AM
  • Firstpage
    526
  • Lastpage
    536
  • Abstract
    The Dempster´s rule of combination is a widely used technique to integrate evidence collected from different sources. In this paper, it is shown that the values of certain functions defined on a family of belief structures decrease (by scale factors depending on the degree of conflict) when the belief structures are combined according to the Dempster´s rule. Similar results also hold when an arbitrary belief structure is prioritized while computing the combination. Furthermore, the length of the belief-plausibility interval is decreased during a nonhierarchical aggregation of belief structures. Several types of inheritance networks are also proposed each of which allows considerable flexibility in the choice of prioritization
  • Keywords
    inference mechanisms; inheritance; Dempster-Shafer evidence theory; belief structures; belief-plausibility interval; inheritance networks; nonhierarchical aggregation; Application software; Biomedical imaging; Computer vision; Decision making; Image retrieval; Medical expert systems; Medical robotics; Pattern matching; Robot vision systems; Robotics and automation;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1083-4427
  • Type

    jour

  • DOI
    10.1109/3468.867860
  • Filename
    867860