Weighted Combination of Conflicting Evidence Based on Evidence Variance

HAN De-qiang; HAN Chong-zhao; DENG Yong; YANG Yi

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Weighted Combination of Conflicting Evidence Based on Evidence Variance

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- Weighted Combination of Conflicting Evidence Based on Evidence Variance
- Acta Electronica Sinica Vol. 39, Issue 3A, Pages: 153-157(2011)
- 作者机构：
  
  1. 西安交通大学电信学院综合自动化研究所,陕西,西安,710049
  2. 上海交通大学电子信息学院,上海,200240
  3. 西南大学计算机与信息科学学院,重庆,400715
  4. 西安交通大学电信学院综合自动化研究所陕西西安,710049
  5. 上海交通大学电子信息学院上海,200240
  6. 西南大学计算机与信息科学学院重庆,400715
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP391
- Published：2011
- 稿件说明：
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HAN De-qiang, HAN Chong-zhao, DENG Yong, et al. Weighted Combination of Conflicting Evidence Based on Evidence Variance[J]. Acta Electronica Sinica, 2011, 39(3A): 153-157.
DOI：

HAN De-qiang, HAN Chong-zhao, DENG Yong, et al. Weighted Combination of Conflicting Evidence Based on Evidence Variance[J]. Acta Electronica Sinica, 2011, 39(3A): 153-157. DOI：

摘要

DS证据理论在决策级信息融合中有着广泛应用.针对证据组合时的某些反直观结果问题提出一种新的基于证据方差的序贯式加权证据组合方法.首先基于Jousselme证据距离定义了证据方差.每一步证据组合时

依据当前既有证据组合结果序列的方差及当前步新证据加入后的序列方差来生成权重.基于所获权重修正新到证据及前一步组合结果

最后利用Dempster规则完成当前步证据组合.算例分析表明所提方法是合理有效的.

Abstract

Dempster-Shafer evidence theory is widely used in the fields of decision-level information fusion.To suppress the counter-intuitive results encountered when using Dempsters rule of combination

a modified sequential weighted evidence combination approach based on variance of evidence is proposed.According to Jousselmes distance

variance of bodies of evidence is defined.In each combination step

the weights are generated based on the variances of the sequences of available evidence combination results before and after adding new arriving body of evidence.Then the weights generated are used to modify the bodies of evidence including the previous combination result and the new arriving body of evidence at current step.Finally

according the Dempsters rule of combination

the weighted average combination result can be obtained.Some numerical examples provided show the efficiency and rationality of the proposed approach.

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