摘要
How to efficiently measure the distance between two basic probability assignments(BPAs) is an open issue. In this paper, a new method to measure the distance between two BPAs is proposed, based on two existing measures of evidence distance. The new proposed method is comprehensive and generalized. Numerical examples are used to illustrate the effectiveness of the proposed method.
How to efficiently measure the distance between two basic probability assignments（BPAs） is an open issue. In this paper, a new method to measure the distance between two BPAs is proposed, based on two existing measures of evidence distance. The new proposed method is comprehensive and generalized. Numerical examples are used to illustrate the effectiveness of the proposed method.
基金
supported by the National High Technology Research and Development Program of China(863 Program)(2013AA013801)
the National Natural Science Foundation of China(61174022
61573290)
the open funding project of State Key Laboratory of Virtual Reality Technology and Systems
the Beihang University(BUAA-VR-14KF-02)
the General Research Program of Natural Science of Sichuan Provincial Department of Education(14ZB0322)
the Self-financing Program of State Ethnic Affairs Commission of China(14SCZ014)
关键词
测量距离
证据
广义
概率分配
Dempster-Shafer evidence（D-S） theory basic probability assignment（BPA） belief function evidence distance similarity function
