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A New Fusion Method for Conflicting Evidence

机译:一种新的证据融合方法

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摘要

A new conflicting evidence fusion method is proposed for the deficiency of Dempster' s rule which can not fuse the conflicting evidence. Evidence is divided into three categories: believable evidence, non-conflicting evidence and con- flicting evidence. The influences of these three categories of evidences on fusion results when discounted are analyzed respectively. On these bases, the evidence distance and the conjunctive conflict are utilized in sequence to recognize the be- lievable evidence and non-conflicting evidence. The discounting factors of these two categories of evidences are set to one, which keeps the evidences support the true hypothesis to the greatest degree, and makes the fusion results focus onto the true hypothesis. Examples of some missile fault diagnosis show that the new method can effectively fuse the conflicting evidences, and is suited to fuse the relievable evidences. The new method improves the reliability and rationality of fusion re- sults compared with traditional methods.
机译:针对Dempster法则的不足,提出了一种新的冲突证据融合方法。证据分为三类:可信证据,非冲突证据和冲突证据。分别分析了这三类证据对融合结果的影响。在这些基础上,依次利用证据距离和结语冲突来识别可信的证据和非冲突的证据。将这两类证据的折现因子设置为1,可以使证据在最大程度上支持真实假设,并使融合结果集中在真实假设上。某导弹故障诊断实例表明,该新方法可以有效地融合矛盾证据,适合于融合可缓解证据。与传统方法相比,新方法提高了融合结果的可靠性和合理性。

著录项

  • 来源
    《兵工学报(英文版)》 |2011年第3期|180-187|共8页
  • 作者

    彭颖; 沈怀荣; 马永一;

  • 作者单位

    Company of Postgraduate Management, the Academy of Equipment Command & Technology, Beijing 101416, China;

    Department of Space Equipment, the Academy of Equipment Command & Technology, Beijing 101416, China;

    Company of Postgraduate Management, the Academy of Equipment Command & Technology, Beijing 101416, China;

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  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 人工智能理论;
  • 关键词

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