Multi-target Attack Decision-Making in Time-Sensitive Missions Based on Artificial Potential Field and Entropy-AHP Method

For the time sensitive multi-target attack missions, a large amount of information in battlefield is miscellaneous and rapidly changing, so it is essential to study a more efficient and accurate decision-making method. The chief aim of this paper is to build real-time battlefield model and plan flight path with Artificial Potential Field (APF) method, meanwhile, a multi-attribute decision-making method based on information entropy-AHP is proposed to make dynamic decision of attack mission under sudden threats. In order to demonstrate the effectiveness of this method, a combat scenario model is employed. Simulation results show that the proposed decision-making method can quickly update the battlefield information and give decision results, which can meet the attack requirements of aircraft against multiple targets in time-sensitive missions.