火力与指挥控制2025，Vol.50Issue(4)：49-56,8.DOI:10.3969/j.issn.1002-0640.2025.04.007
基于贝叶斯网络改进ADC模型的无人机作战效能评估方法
UAV Combat Effectiveness Evaluation Based on Improved ADC Model by Bayesian Network
薛松 1高源 1张炜 1孙雅薇 1秦新宇1
作者信息
- 1. 北方信息控制研究院集团有限公司,南京 211153
- 折叠
摘要
Abstract
To address the difficulty of quantitatively analying capability vectors in traditional ADC effectiveness evaluation models,this paper proposes a UAV combat effectiveness evaluation method based on the ADC model improved by Bayesian network.Firstly,the UAV performance evaluation index system is constructed according to the ADC performance evaluation model,and then the influence relationship between the UAV capabilities at all levels is expressed through the Bayesian network and the combat capability of the UAV is obtained through node probabilistic reasoning,so as to evaluate the combat effectiveness of the UAV more accurately.关键词
效能评估/ADC模型/贝叶斯网络/模糊理论Key words
effectiveness evaluation/ADC model/bayesian network/fuzzy theory分类
武器工业引用本文复制引用
薛松,高源,张炜,孙雅薇,秦新宇..基于贝叶斯网络改进ADC模型的无人机作战效能评估方法[J].火力与指挥控制,2025,50(4):49-56,8.
