Title :
On the properties of relative plausibilities
Author_Institution :
Dept. of Comput. Sci., Univ. of California at Los Angeles, CA, USA
Abstract :
In this paper we investigate the properties of the relative plausibility function, the probability built by normalizing the plausibilities of singletons associated with a belief function. On one side, we stress how this probability is a perfect representative of the original belief function when combined with any arbitrary probability through Dempster´s rule. This leads to conjecture that this function should also be the solution of the probabilistic approximation problem, formulated naturally in terms of Dempster´s rule. On the other side, the geometric properties of relative plausibilities are studied in the context of the geometric approach to the theory of evidence, yielding a description of the representation property which suggests a sketch for the general proof of our conjecture.
Keywords :
belief networks; probability; uncertainty handling; Dempster rule; belief functions; belief space; probabilistic approximation; relative plausibilities; Bayesian methods; Computer science; Information geometry; Stress; Belief functions; Dempster’s rule; belief space; probabilistic approximation; relative plausibilities;
Conference_Titel :
Systems, Man and Cybernetics, 2005 IEEE International Conference on
Print_ISBN :
0-7803-9298-1
DOI :
10.1109/ICSMC.2005.1571211