• DocumentCode
    1161723
  • Title

    On Dempster-Shafer and bayesian detectors

  • Author

    Ghosh, Debashis ; Pados, Dimitris A. ; Acharya, Raj ; Llinas, James

  • Author_Institution
    Dept. of Comput. Sci. & Eng., Pennsylvania State Univ., University Park, PA
  • Volume
    36
  • Issue
    5
  • fYear
    2006
  • Firstpage
    688
  • Lastpage
    692
  • Abstract
    In this correspondence, we examine the relationship between Dempster-Shafer (DS) decision making systems and conventional Bayesian (centralized or distributed) detectors. We establish theoretically that under certain intuitively pleasing DS probability mass assignments the two systems become equivalent. A few numerical studies illustrate the theoretical developments
  • Keywords
    Bayes methods; decision making; probability; sensor fusion; uncertainty handling; Bayesian detector; Dempter-Shafer decision making system; distributed decision fusion; probability; Bayesian methods; Computer science; Data processing; Decision making; Detectors; Industrial engineering; Parallel processing; Sensor fusion; Testing; Uncertainty; Bayes procedures; Dempster–Shafer (DS) reasoning; classification; decision fusion; decision-making; distributed detection;
  • fLanguage
    English
  • Journal_Title
    Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1094-6977
  • Type

    jour

  • DOI
    10.1109/TSMCC.2005.855494
  • Filename
    1678043
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1161723