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
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;
Journal_Title :
Systems, Man, and Cybernetics, Part C: Applications and Reviews, IEEE Transactions on
DOI :
10.1109/TSMCC.2005.855494
