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Bayesian Evaluation Method for Detection Efficiency of Early Warning Detection System Based on Knowledge Graph
Bo-wen YUAN, Feng ZHU, Zhao-peng LIU, Li-wei WANG, Run-yu HUANG
Modern Defense Technology    2022, 50 (1): 74-80.   DOI: 10.3969/j.issn.1009-086x.2022.01.011
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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 implement knowledge reasoning, so as to realize the evaluation of system detection efficiency. The effectiveness of the proposed method by constructing specific combat scenarios is verified, and the evaluation of the proposed method based on deduced data is analyzed.

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