Damage Assessment Model of Civil Airfield in an Air Raid Based on Dynamic Bayesian Network

Abstract

To assess the damage of civil airfield in an air raid, a damage assessment model based on the dynamic Bayesian network was proposed. Based on the function of civil airfield, its classification was conducted, and the model structure of the dynamic Bayesian network was built, and the complete damage assessment mode was presented. To verify the model, the Monte-Carlo method was applied to simulate the experimental data, and the Pearson correlation coefficients was adopted to describe the model precision. The model stability was further validated by substituting the experimental data under different missing rates in the model. The results show that the proposed model is scientific and reasonable, which can provide effective decision support for combatant commanders.