In the information description of intuitionistic fuzzy Bayesian network model to the network evidence node,there is only single membership degree or non-affiliation degree,and the hesitation degree is not taken into full consideration.To solve the problem,a threat assessment method based on dual hesitant fuzzy Bayesian network is proposed.Firstly,the intuitionistic fuzzy set is extended to the dual hesitant fuzzy set,makes the ambiguity and uncertainty of the node information more realistic,more comprehensive and accurate.Secondly,through the improved Dα operator,the dual hesitation of the hesitation of the hesitation is assigned to the membership degree and the non-affiliation degree,which is used as the input of the network evidence node.Then,analysis is made to the factors affecting the threat assessment and a Bayesian network model is established.Finally,based on the real-time battlefield data,the target threat degree is predicted and analyzed.The simulation results show that the method can accurately and effectively evaluate the threat of the enemy.