A Threat Assessment Method in Uncertain Dynamic Environments
A threat assessment method based on priori information and dynamic observation results is studied for the existence of dynamic uncertainty in complex war systems.The data mining is applied to obtain prior knowledge on the battlefield situation and construct an equipment-related confidence matrix.The sensor model is constructed to dynamically update the number of blue-side entities under the current situation by using the Bayesian method and considering both intelligence and observation results.The threat evaluation indicators and their weights are determined and the TOPSIS method is used to finish the threat assessment.This method can well describe the complex and changing dynamic battlefield environment and make full use of priori information and dynamic observation results for threat assessment of the detection area or the undetectable location nearby.The feasibility of this method is verified through case simulation analysis.
万方数据
维普
