Research on Collaborative Aerial Detection Threat Assessment Method Based on Intuitive Fuzzy Reasoning and Three-way Decision

In response to the challenges of high uncertainty in target threat assessment and weak coordination in situational evaluation in unmanned aerial vehicle (UAV) collaborative aerial detection, this paper designs an aerial detection collaborative threat assessment strategy based on fuzzy three support decision-making, effectively solving the problem of fuzzy information processing in aerial detection threat assessment. Firstly, a fuzzy threat model for aerial detection was established, simplifying the difficulty of the problem. Secondly, a threat degree calculation method is constructed using fuzzy multi-attribute decision-making theory, and a threat assessment classification method is constructed based on the fusion of improved prospect theory and three decision-making methods. This strengthens the evaluation algorithm's ability to process fuzzy information on the field, making the threat assessment and evaluation system more flexible and effective. Subsequently, based on the single aircraft threat assessment results, a coordinated threat item for aerial detection situation was designed to further enhance the formation coordination attribute of unmanned aerial vehicle autonomous threat assessment. Finally, the effectiveness of the designed method was verified through digital simulation in the presence/absence of collaborative aerial detection scenarios, demonstrating its ability to resist fuzzy interference.