Target damage rank assessment based on Dynamic Bayesian Network

Target damage rank assessment (TDR) is an important part of the direction decision-making for the C
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I system, and the fast and effective damage assessment for the target is the main basis for judging the necessity of continuous target attacking. A method of the target damage rank assessment based on the Dynamic Bayesian Network (DBN) is used to evaluate the operational situation in this paper. As an example, the operational weapon equipment is analyzed by this method, and the results show the method feasible.