A generalized evidence distance
This addresses an open issue in uncertain information processing for researchers in evidence theory, but appears incremental as it generalizes existing methods.
The paper tackles the problem of measuring distance between basic probability assignments in Dempster-Shafer theory by proposing a new generalized method, which is shown to overcome shortcomings of existing approaches through numerical examples.
Dempster-Shafer theory of evidence (D-S theory) is widely used in uncertain information process. The basic probability assignment(BPA) is a key element in D-S theory. How to measure the distance between two BPAs is an open issue. In this paper, a new method to measure the distance of two BPAs is proposed. The proposed method is a generalized of existing evidence distance. Numerical examples are illustrated that the proposed method can overcome the shortcomings of existing methods.