An improved air situation assessment method based on intuitive fuzzy reasoning

Accurately and reliably identifying and predicting the air situation under the conditions of refusal environment and strong confrontation is the prerequisite and foundation for the command and control system to make reasonable task decisions and achieve predetermined goals. In response to this situation assessment issue, this article proposes an improved air situation assessment method based on intuitive fuzzy reasoning, using basic theoretical methods such as fuzzy theory and threat assessment. Firstly, describe the problem of air situation assessment, analyze the characteristics of typical situation assessment methods, and focus on summarizing the shortcomings of current research. Furthermore, utilizing the expressive power of generative adversarial networks and fuzzy reasoning, the situation in the denied air environment is modeled, and an improved air situation evaluation method based on intuitionistic fuzzy reasoning is designed by integrating intuitionistic fuzzy set theory, three-way decision strategy, and cumulative prospect theory. The simulation results show that the proposed Generative Adversarial Intuitive Situation Assessment method can effectively evaluate the current air situation.