• Electronics Optics & Control
  • Vol. 29, Issue 1, 7 (2022)
XU Jihui, TIAN Wenjie, SHI Jiahui, CHEN Yujin, and WANG Xiaolin
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.01.002 Cite this Article
    XU Jihui, TIAN Wenjie, SHI Jiahui, CHEN Yujin, WANG Xiaolin. A High-Conflict Evidence Fusion Method Based on Game Theory[J]. Electronics Optics & Control, 2022, 29(1): 7 Copy Citation Text show less

    Abstract

    Regarding the high-conflict problem that can not be solved by conventional DS evidence theory,a new improved DS evidence theory method is proposed.Firstly,Harley-like entropy and Shannon entropy are used to measure the comprehensive uncertainty of evidence,and to describe the non-concreteness and randomness of evidence.Secondly,Pearson correlation coefficient is used to measure the similarity between the evidence.Then,based on the game theory,the combination weights are given to ensure the accuracy and rationality of the corrected weights.Finally,the modified Basic Probability Assignment (BPA) is calculated using the DS combination rule to obtain the fusion result.Through the analysis of the cases in comparison with other methods,it is proved that the proposed algorithm has higher fusion accuracy,faster recognition speed for common sense proposition,and more scientific and effective consideration of problems.
    XU Jihui, TIAN Wenjie, SHI Jiahui, CHEN Yujin, WANG Xiaolin. A High-Conflict Evidence Fusion Method Based on Game Theory[J]. Electronics Optics & Control, 2022, 29(1): 7
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