冲突证据的相关系数度量方法

孙贵东; 关欣; 衣晓; 赵静

doi:10.11959/j.issn.1000-436x.2018277

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冲突证据的相关系数度量方法

学术论文 | 更新时间：2024-06-05

- 冲突证据的相关系数度量方法
- Correlation coefficient measurement for conflict evidence
- 通信学报 2018年39卷第12期页码：30-39
- 作者机构：
  
  海军航空大学航空作战勤务学院，山东烟台 264001
- 作者简介：
  
  [ "孙贵东（1989–），男，山东荣成人，海军航空大学博士生，主要研究方向为智能数据挖掘、模糊识别与决策。" ]
  [ "关欣（1978–），女，辽宁锦州人，博士，海军航空大学教授、博士生导师，主要研究方向为智能信息处理、多源信息融合。" ]
  [ "衣晓（1976–），男，山东烟台人，海军航空大学教授，博士生导师，主要研究方向为无线传感器网络、通信导航。" ]
  [ "赵静（1986–），女，山东龙口人，海军航空大学博士生，主要研究方向为信息融合理论、目标识别。" ]
- 基金信息：
  
  国防科技卓越青年科学基金资助项目;国家自然科学基金资助项目(No.91538201);泰山学者工程专项基金资助项目(No.ts201712072);山东省自然科学基金资助项目(No.ZR2017BG014)
- DOI：10.11959/j.issn.1000-436x.2018277
  中图分类号： TP237
- 网络出版日期：2018-12，
  
  纸质出版日期：2018-12-25
- 稿件说明：
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孙贵东, 关欣, 衣晓, 等. 冲突证据的相关系数度量方法[J]. 通信学报, 2018,39(12):30-39.

Guidong SUN, Xin GUAN, Xiao YI, et al. Correlation coefficient measurement for conflict evidence[J]. Journal on communications, 2018, 39(12): 30-39.
孙贵东, 关欣, 衣晓, 等. 冲突证据的相关系数度量方法[J]. 通信学报, 2018,39(12):30-39. DOI： 10.11959/j.issn.1000-436x.2018277.

Guidong SUN, Xin GUAN, Xiao YI, et al. Correlation coefficient measurement for conflict evidence[J]. Journal on communications, 2018, 39(12): 30-39. DOI： 10.11959/j.issn.1000-436x.2018277.

摘要

复杂战场环境增加了侦察信息处理的不确定性，基于信度函数研究不确定信息尤其是冲突证据度量问题，提出用归一化的证据相关作为冲突证据度量的相关系数，针对现有冲突证据度量方法未分清证据单类命题与多类命题的缺点，分别定义并核关系矩阵与核关系矩阵修正并核相关与核相关，得到修正后的冲突证据度量。结合经典的冲突证据算例验证了该冲突证据相关系数度量方法的有效性。

Abstract

The complex battlefield environment increases the uncertainty of reconnaissance information processing

so the uncertain information processing is investigated

especially the conflict evidence measurement

based on the belief functions. The normalized evidence correlation is defined as the correlation coefficient measurement for conflict evidence. In order to solve the drawback that the existing conflict evidence measurement methods do not distinguish the single set and multiple sets

the union core and core relational matrix are defined to modify the union core and core correlation respectively and further obtain the modified conflict evidence measurement. Finally

the efficiency of the proposed correlation coefficient measurement for conflict evidence is illustrated in the classical simulation example.

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Keywords

references

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