Artificial Intelligence

   

A New Divergence Measure of Belief Function in D-S Evidence Theory

Authors: Fuyuan Xiao

Dempster-Shafer (D-S) evidence theory is useful to handle the uncertainty problems. In D-S evidence theory, however, how to handle the high conflict evidences is still an open issue. In this paper, a new reinforced belief divergence measure, called as RB is developed to measure the discrepancy between basic belief assignments (BBAs) in D-S evidence theory. The proposed RB divergence is the first work to consider both of the correlations between the belief functions and the subset of set of belief functions. Additionally, the RB divergence has the merits for measurement. It can provide a more convincing and effective solution to measure the discrepancy between BBAs in D-S evidence theory.

Comments: 10 Pages.

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Submission history

[v1] 2019-01-25 04:14:03

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