Abstract: |
Aiming at the problems that the current air target threat assessment has strong subjectivity, weak stability and discontinuous assessment process, this paper proposes a fusion threat assessment model DBN TOPSIS based on dynamic Bayesian network (DBN) and TOPSIS by considering the target motion characteristics and the target attributes. An air target threat evaluation index system is established through the analysis of the dependent relationship between the indicators of the incoming targets. The fuzzy theory is used to process the continuous characteristic indexes and unify the shape of indexes, and DBN is applied to carry out probabilistic reasoning of the dynamic threat level. The mapping relationship between fuzzy DBN evaluation results and TOPSIS evaluation matrix is constructed. TOPSIS method is applied to convert the one dimensional vector of threat assessment probability into a definite value. The accurate ranking of the air multi target threat is obtained. The experimental results show that the fusion threat assessment method is reasonable and stable. |