基于冲突证据修正的DS改进方法
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哈尔滨工业大学自动化测试与控制系哈尔滨150001

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TP181

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Improved DS method based on conflict evidence correction
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Automatic Test and Control Institute, Harbin Institute of Technology, Harbin 150001, China

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    摘要:

    DS(DempsterShafer)证据理论在不确定推理与信息融合领域有着广泛的应用,但是当证据严重冲突时会出现反直观结果的问题。针对这一问题,提出了一种基于冲突证据修正的DS改进方法,首先根据各证据与平均证据的证据距离确立各证据的权重,以平均权重为阈值确立冲突证据,然后根据冲突证据的权重对其进行折扣度修正,修正后的证据再与非冲突的原始证据使用Dempster组合规则得到最终推理结果。仿真实验表明,有效地改善了经典DS证据理论存在的典型问题,在低冲突证据和高冲突证据的融合处理上,本方法相较于其他方法简单有效,收敛快,可靠性高。

    Abstract:

    DempsterShafer(DS)evidence theory is widely used in the field of uncertainty reasoning and information fusion. However, there is also a problem of counterintuitive results in highly conflictive evidence combination. To solve this problem, an improved DS method based on conflict evidence correction is proposed. Firstly, the weight of each evidence is determined by the evidence distance of each evidence and average evidence. Secondly, conflict evidence is determined by the average weight, which is the threshold, and then it is discounted according to its weight. Dempster rule is utilized to combine conflict with other original evidences to get final results. The simulation results show that the proposed method can effectively improve the typical problem of classic DS evidence theory. Compared with other methods, the proposed method is simple, effective and has fast convergence and high reliability when dealing with both low conflict evidences and high conflict evidences.

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刘晓东,邓锦宇.基于冲突证据修正的DS改进方法[J].电子测量与仪器学报,2017,31(9):1499-1506

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  • 在线发布日期: 2017-11-06
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