Danger Level Assessment of Anomaly Air Situation
Qing Hui Liu, Haolin Cui · 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC) · 2017
In order to effectively deal with the abnormal air situation in daily air defense, given various elements' impacts from both sides of friend and foe, this paper assesses the danger level of anomaly air situation according to the target's threat degree and emergency response capability. Starting from the target's attack intention and combat capability, this paper uses the dynamic Bayesian network to deduce the air situation target information and consequently acquire the target's threat which is regarded as the gain of anomaly air situation. Meanwhile, RBF fuzzy neural network is adopted to evaluate all elements such as information acquisition, interception, strike and others that are related to the capabilities of air defense so as to access the capability in dealing with emergencies in anomaly air situation. Finally, this method provides the danger level of anomaly air situation in the form of sum and difference. The simulation shows that this method is scientific and effective, and the calculation results conform to the real situation.