The Research on Evidence Combination Method Based on Conflict Relation Network

CHEN Zhe; WANG Jia-yang

doi:10.12263/DZXB.20190086

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The Research on Evidence Combination Method Based on Conflict Relation Network

更新时间：2025-12-08

- The Research on Evidence Combination Method Based on Conflict Relation Network
- Acta Electronica Sinica Vol. 49, Issue 1, Pages: 125-131(2021)
- 作者机构：
  
  中南大学计算机学院,湖南,长沙,410083
- 作者简介：
- 基金信息：
- DOI：10.12263/DZXB.20190086
  CLC： TP391
- Published Online：25 January 2021，
  
  Published：2021
- 稿件说明：
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CHEN Zhe, WANG Jia-yang. The Research on Evidence Combination Method Based on Conflict Relation Network[J]. Acta Electronica Sinica, 2021, 49(1): 125-131.
DOI：

CHEN Zhe, WANG Jia-yang. The Research on Evidence Combination Method Based on Conflict Relation Network[J]. Acta Electronica Sinica, 2021, 49(1): 125-131. DOI： 10.12263/DZXB.20190086.

摘要

针对经典证据理论处理高冲突情况时结果违反常理的问题，在对其原因及各类改进方法进行研究分析的基础上，提出基于冲突关系网络的证据合成方法.该方法从整体着眼，充分考虑直接与间接冲突关系，通过构建网络，利用PageRank算法的思想获取证据权值并进行加权修正，最后利用Dempster组合规则进行融合，既保留了经典理论优良的数学性质，又较好解决了前述问题.算例分析结果表明，该方法能够客观反映冲突证据所携带的不确定信息，具备一定的优越性.

Abstract

Since the result of classic evidence theory in dealing with high conflict situation is unreasonable

after analyzing the reasons and various improved methods

the evidence combination method based on conflict relation network is proposed. The method considers direct and indirect relations adequately

takes advantage of the idea of PageRank algorithm to obtain the weight of evidence by building network. Then the evidence is revised and weighted. Finally

the fusion is accomplished by adopting the combination rule of Dempster. It solves the problem above preferably while keeping the good mathematical properties of evidence theory. Analysis of examples indicates that

the proposed method can objectively reflect uncertain information with conflicting evidences well.

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Weighted Combination of Conflicting Evidence Based on Evidence Variance

Delay Matching in Adaptive Interference Cancellation System

A Modified Combination Rule of Evidence Theory

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