知识图谱的预警探测体系探测效能贝叶斯评估方法

战争中，预警探测体系作为典型的复杂系统，其探测效能发挥情况的有效评估一直是亟需人们研究解决的重要现实问题。突破了传统效能评估方法的局限，在分析了知识图谱技术、贝叶斯评估方法基本原理的基础上，提出了基于两者综合运用的预警探测体系探测效能评估新方法，利用专家知识和实验数据构建知识图谱，并进一步使用贝叶斯网络方法实施知识推理，从而实现了体系探测效能评估。通过构建具体作战场景，验证了所提方法的有效性，并基于推演数据分析了所提方法的评估情况。

Bayesian Evaluation Method for Detection Efficiency of Early Warning Detection System Based on Knowledge Graph

In war,early warning and detection system as a typical complex system,the effective evaluation of its detection effectiveness has always been an important practical problem that needs to be studied and solved.The limitations of traditional effectiveness evaluation methods are break-throughed.On the basis of analyzing the basic principles of knowledge graph technology and Bayesian evaluation method,a new method of detection efficiency evaluation of early warning detection system based on their comprehensive application is proposed.The knowledge graph is constructed by using expert knowledge and experimental data,and the Bayesian network method is further used to imple?ment knowledge reasoning,so as to realize the evaluation of system detection efficiency.The effective?ness of the proposed method by constructing specific combat scenarios is verified,and the evaluation of the proposed method based on deduced data is analyzed.