基于幂Pignistic概率距离的加权证据组合方法

朱京伟; 王晓丹; 宋亚飞; 黄文龙

doi:10.11959/j.issn.1000-436x.2018003

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基于幂Pignistic概率距离的加权证据组合方法

学术论文 | 更新时间：2024-06-05

- 基于幂Pignistic概率距离的加权证据组合方法
- Weighted evidence combination method based on power-Pignistic probability distance
- 通信学报 2018年39卷第1期页码：117-125
- 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：
  
  [ "朱京伟（1990-），男，陕西咸阳人，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。" ]
  [ "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。" ]
  [ "黄文龙（1973-），男，重庆人，空军工程大学副教授，主要研究方向为智能信息处理、图像解译等。" ]
- 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);国家自然科学基金资助项目(61703426);国家自然科学基金资助项目(61503407);航空科学基金资助项目(20151996015)
- DOI：10.11959/j.issn.1000-436x.2018003
  中图分类号： TP391
- 网络出版日期：2018-01，
  
  纸质出版日期：2018-01-25
- 稿件说明：
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朱京伟, 王晓丹, 宋亚飞, 等. 基于幂Pignistic概率距离的加权证据组合方法[J]. 通信学报, 2018,39(1):117-125.

Jingwei ZHU, Xiaodan WANG, Yafei SONG, et al. Weighted evidence combination method based on power-Pignistic probability distance[J]. Journal on communications, 2018, 39(1): 117-125.
朱京伟, 王晓丹, 宋亚飞, 等. 基于幂Pignistic概率距离的加权证据组合方法[J]. 通信学报, 2018,39(1):117-125. DOI： 10.11959/j.issn.1000-436x.2018003.

Jingwei ZHU, Xiaodan WANG, Yafei SONG, et al. Weighted evidence combination method based on power-Pignistic probability distance[J]. Journal on communications, 2018, 39(1): 117-125. DOI： 10.11959/j.issn.1000-436x.2018003.

摘要

针对现有的相似性/相异性测度在量化证据冲突时存在的不足，定义一种新的被称为幂Pignistic概率距离的相异性测度，并提出基于幂Pignistic概率距离的加权证据组合方法。该方法通过幂Pignistic概率距离量化两证据之间的冲突程度，然后建立相似性矩阵并求得各证据的可信度，再用加权平均法修正证据，最后利用Dempster规则进行组合。数值算例的结果表明，所提方法是合理有效的。

Abstract

To deal with the shortcomings encountered when using the existing similarity/dissimilarity measures to quantify evidence conflict

a new dissimilarity measure called power-Pignistic probability distance was defined.Furthermore

a weighted evidence combination method was proposed based on power-Pignistic probability distance.The conflict degree between two pieces of evidence was quantified by the power-Pignistic probability distance.After that

a similarity measure matrix was constructed

based on which the credibility of evidence was obtained.Then the weighted average method was used to revise the evidence.Finally

the fusion was accomplished by using Dempster’s rule.The results of the numerical examples show the efficiency and rationality of the proposed method.

关键词

Keywords

references

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