A New Threat Assessment Method for Airborne Targets Based on Dynamic Weighting Method

To solve the issues of large subjective fluctuations and lengthy computation time in traditional methods for assessing airborne target threats, a threat assessment algorithm based on Dynamic Weighted Intuitionistic Fuzzy Analytic Hierarchy Process-Dynamic Bayesian Network (IFAHP-DBN) is proposed in this paper. Firstly, the threat indicators are divided into qualitative indicators and quantitative indicators. Additionally, the Analytic Hierarchy Process improved by intuitionistic fuzzy sets is used to calculate the quantitative threat values of the targets, the Dynamic Bayesian Network is used to calculate the qualitative threat values. Finally, the entropy weighting method is utilized to dynamically combine the qualitative and quantitative threat values to obtain the overall target threat values. Simulation results demonstrate that compared to other algorithms, this method enables rapid and effective dynamic threat assessment for airborne targets, with short computation time and high disturbance resistance.