Evaluation of Anti-UAV Swarm Combat Effectiveness Based on Grey Cluster Analysis

In recent years, unmanned aerial vehicle (UAV) swarm operation has become a new operational style that can change the war situation. However, there are few articles on the evaluation of combat effectiveness of anti-UAV swarm system, and the common evaluation methods have strong limitations. Therefore, this paper presents a method of combining fuzzy Analytic Hierarchy Process (FAHP) and indicator correlation indicator weight determination (CRITIC), and using grey clustering analysis method to evaluate the combat effectiveness of anti-UAV swarm. Firstly, the operational effectiveness evaluation index system of anti-UAV swarm system is constructed by using the “perception-judge-decision-strike” loop (OODA). Secondly, FAHP-CRITIC method is used to calculate the evaluation index weight of system combat effectiveness. Thirdly, grey cluster analysis is used to sort and optimize the efficiency values of different schemes. Finally, the correctness and rationality of the combat effectiveness evaluation method of the anti-UAV swarm system by using grey cluster analysis is verified through the control experimental data. The research work provides a more scientific method to evaluate the combat effectiveness of the anti-UAV swarm system.