Threat assessment of air target based on dynamic relative entropy ranking method

In the complex and changeable air combat environment, how to accurately assess the threat of incoming targets is the key factor to determine the success or failure of air defense operations. Therefore, a threat assessment method based on dynamic relative entropy ranking method is proposed in this paper. Firstly, the attribute factors of air target are selected, and the target attribute matrix at different times is determined by intuitionistic fuzzy sets. Secondly, the inverse Poisson distribution method is used to determine the weight of time series, and then the time-weighted target attribute matrix is determined, and the target attribute is weighted by intuitionistic fuzzy entropy, so that the attribute-weighted intuitionistic fuzzy decision matrix is obtained. Thirdly, the relative entropy theory is introduced to improve the TOPSIS method, and the relative entropy ranking method is obtained. Then, a threat assessment model based on dynamic relative entropy ranking method is constructed, and the dynamic assessment of incoming targets is completed. Finally, the method is proved to be reasonable and effective by example analysis and comparison.