| Citation: | ZHANG Huan, LU Jianguang, TANG Xianghonget al. An improved DS evidence theory algorithm for conflict evidence[J]. Journal of Beijing University of Aeronautics and Astronautics, 2020, 46(3): 616-623. doi: 10.13700/j.bh.1001-5965.2019.0264(in Chinese)
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The advantages of DS (Dempster-Shafer) evidence theory in dealing with uncertain information have been widely used in various fields. This paper proposes an improved DS evidence theory algorithm for the existence of evidence conflicts in traditional DS. Firstly, combined with the correlation limitation of Pearson correlation coefficient and the correction of zero factor of fusion process, the weight of distribution and the overall unrelated evidence body is greatly reduced, and the overall importance of the evidence body is corrected. Secondly, the DS combination rule calculation is performed to corrected basic probability assignment (BPA) to obtain the fusion result. Compared with the performance of other improved DS theory algorithms in solving common conflict evidence and the number of evidence body fusion, the proposed algorithm has faster convergence rate and higher fusion BPA on credible proposition, which proves the effectiveness of the proposed algorithm.
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