基于ANFIS的空袭目标攻击意图量化方法

为准确评估空袭目标的威胁程度和提高指挥员的防空决策水平,采用自适应神经模糊推理系统(ANFIS)对空袭目标的攻击意图量化分析。该方法将模糊推理和人工神经网络有机地结合起来,充分利用专家知识,综合集成了航向角攻击意图系数和高度攻击意图系数。仿真结果表明,建立的攻击意图量化系统反映了影响因素和攻击意图的映射规律,方法合理有效,能够为防空作战提供决策支持。

Quantitative Method of Targets Attack Intention

In order to improve the credibility of air-attack targets threat assessment and commander’s decision level,attack intention quantitative analysis is made by a method on the basis of ANFIS.Fuzzy inference and neural network are combined in the use of ANFIS,applying expert knowledge,attack intention coefficient of course angle and altitude is comprehensive integrated.The simulation results show that attack intention quantitative system reflects the mapping rules between influence factors and attack intention.Therefore,the method is feasible and effective to provide decision support for air defense operation.