基于信任度和虚假度的证据组合方法

宋亚飞; 王晓丹; 雷蕾; 薛爱军

doi:10.11959/j.issn.1000-436x.2015104

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基于信任度和虚假度的证据组合方法

学术论文 | 更新时间：2024-06-05

- 基于信任度和虚假度的证据组合方法
- Evidence combination based on the degree of credibility and falsity
- 通信学报 2015年36卷第5期页码：98-103
- 作者机构：
  
  空军工程大学防空反导学院，陕西西安 710051
- 作者简介：
  
  [ "宋亚飞（1988-），男，河南汝州人，空军工程大学博士生，主要研究方向为模式识别、智能信息处理等。" ]
  [ "王晓丹（1966-），女，陕西汉中人，空军工程大学教授、博士生导师，主要研究方向为机器学习、模式识别、智能信息处理等。" ]
  [ "雷蕾（1988-），女，四川南充人，空军工程大学博士生，主要研究方向为模式识别、智能信息处理等。" ]
  [ "薛爱军（1989-），男，山东聊城人，空军工程大学博士生，主要研究方向为模式识别、智能信息处理等。" ]
- 基金信息：
  
  国家自然科学基金资助项目(61273275);国家自然科学基金资助项目(60975026)
- DOI：10.11959/j.issn.1000-436x.2015104
  中图分类号： TP274
- 网络出版日期：2015-05，
  
  纸质出版日期：2015-05-25
- 稿件说明：
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宋亚飞, 王晓丹, 雷蕾, 等. 基于信任度和虚假度的证据组合方法[J]. 通信学报, 2015,36(5):98-103.

ONGYa-fei S, ANGXiao-dan W, EILei L, et al. Evidence combination based on the degree of credibility and falsity[J]. Journal on communications, 2015, 36(5): 98-103.
宋亚飞, 王晓丹, 雷蕾, 等. 基于信任度和虚假度的证据组合方法[J]. 通信学报, 2015,36(5):98-103. DOI： 10.11959/j.issn.1000-436x.2015104.

ONGYa-fei S, ANGXiao-dan W, EILei L, et al. Evidence combination based on the degree of credibility and falsity[J]. Journal on communications, 2015, 36(5): 98-103. DOI： 10.11959/j.issn.1000-436x.2015104.

摘要

D-S证据理论在信息融合领域有着广泛的应用，但使用Dempster组合规则对高冲突证据进行合成时可能会得到反直观的结果，在应用中也存在“一票否决”的问题，为解决这些问题，提出一种改进的基于证据信任度和虚假度的证据加权组合方法。首先在证据相关系数的基础上定义了证据信任度，再结合证据虚假度的概念来确定各原始证据的权重，依此权重系数对各证据进行加权平均后利用Dempster组合规则对加权平均证据进行组合。数值算例表明，该组合方法可实现冲突证据的有效融合，与其他方法相比该方法具有更好的收敛性。

Abstract

D-S evidence theory has been widely used in various fields of information fusion due to its efficiency in deal-ing with uncertain information.Unfortunately

combination of conflicting evidences by classical Dempster's rule may produce counter-intuitive results.To alleviate this problem

a new weighted average combination rule is proposed.Defi-nitions of correlation coefficient was first presented

followed by the introduction of falsity.Then the credibility of evi-dence is proposed.A new weighted coefficient is determined by credibility and falsity.To achieve convergence

the nor-malized weighted coefficient was suggested into the Dempster's combination rule to average the basic probability as-signment.Comparable numerical examples demonstrate that the proposed approach can combine conflicting evidences more effectively.Moreover

the proposed methodology can provide a faster identification of the observed object.

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references

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