To address the problems of weak anti-interference capability and insufficient reliability of single-moment air target threat assessment,a multi-moment aerial target threat assessment model based on the improved D-S evidence theory is established.Firstly,the time range of multi-moment aerial target threat assessment is defined based on the air combat timeline.Then,on the basis of single-moment aerial target threat level probability assignment,the D-S evidence theory is used to fuse the evidence information of each moment.Meanwhile,to address the problems that the D-S evidence theory cannot handle high-conflict evidence and its existing improvement method is computationally intensive,the concept of offset degree is introduced to determine the weight of evidence sources at each moment and perform D-S fusion on the weighted evidence.Numerical examples show that the model algorithm has low complexity and high stability,and can effectively handle fluctuating data.The algorithm can attenuate the adverse effects of high-conflict evidence fusion on threat assessment,providing a more accurate discriminatory basis for the final decision-making.