基于ANFIS和攻防对抗的空袭目标威胁评估

Air-attack Targets Threat Assessment Based on ANFIS and Attack-defence Confrontation

为了提高空袭目标威胁评估的可信度,在建立威胁评估指标体系的基础上,提出了一种基于自适应神经模糊推理系统和攻防对抗的威胁评估方法。该方法将模糊推理和人工神经网络有机的结合起来,综合集成了空袭目标类型、攻击意图和舰空导弹的防御能力。仿真结果表明,建立的威胁评估系统反映了威胁指标和威胁程度的映射规律,方法合理有效,能够为防空作战提供决策支持。

In order to improve the credibility of air-attack targets threat assessment, a method on the basis of ANFIS and attack-defence confrontation was presented according to the index system of threat assessment. This method combines fuzzy inference with neural network, comprehensively integrates air-attack target type, attack intention and ship-to-air missile defense capability. The simulation results show that the threat assessment system reflects the mapping rules between threat index and level. Therefore, the method is feasible and effective to provide decision support for air defence operation.