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基于证据距离和特征向量的仿真数据可信度评估方法

李文博 黄炎焱 张寒 白逸凡

兵工自动化2024,Vol.43Issue(12):48-54,7.
兵工自动化2024,Vol.43Issue(12):48-54,7.DOI:10.7690/bgzdh.2024.12.012

基于证据距离和特征向量的仿真数据可信度评估方法

Credibility Evaluation Method of Simulation Data Based on Evidence Distance and Eigenvector

李文博 1黄炎焱 1张寒 1白逸凡1

作者信息

  • 1. 南京理工大学自动化学院,南京 210094
  • 折叠

摘要

Abstract

According to the characteristics of combat simulation model data,this paper proposes a credibility evaluation method of source data based on Jousselme evidence distance.According to the simulation model,a combat evaluation index system is constructed,the type of output simulation data is determined,the simulation data is quantified as evidence source data by using an expert evaluation method,the objective weight of the evidence source data is calculated according to the Jousselme evidence distance and the eigenvector method,and the expert weight is evaluated by using the eigenvector method as a subjective weight.According to the two kinds of weights,the comprehensive weight is obtained,and the original evidence source data is modified by using the comprehensive weight,and the credibility vector of the simulation data is obtained through multiple evidence fusion.Through the example of simulation data credibility evaluation,the results show that the method is feasible and accurate.

关键词

Jousselme证据距离/特征向量法/仿真数据可信度评估/专家评估

Key words

Jousselme evidence distance/eigenvector method/simulation data credibility evaluation/expert evaluation

分类

信息技术与安全科学

引用本文复制引用

李文博,黄炎焱,张寒,白逸凡..基于证据距离和特征向量的仿真数据可信度评估方法[J].兵工自动化,2024,43(12):48-54,7.

基金项目

装备预先研究共用技术项目(50901010101) (50901010101)

兵工自动化

OA北大核心CSTPCD

1006-1576

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