基于推理的体系对抗条件下空袭目标优选方法

针对体系对抗条件下空袭目标选择缺乏不确定多要素分析能力和足够的自主推理能力,研究了空袭体系的基本作战样式,根据智能决策模拟系统需求,结合决策行为产生机理,建立基于区间数的综合推理模型,给出空袭目标优选规则,提出基于推理的体系对抗条件下空袭目标优选方法,最后给出一个仿真实例。实例结果表明,该方法可作为体系对抗条件下作战仿真系统的重要组成部分,为军事指挥员提供辅助决策支持。

A Method of Air-Attacked Targets Selection in Terms of SoS Antagonism Based on Reasoning

In order to improve the capability of multifactor analysis in indeterminacy and self-reasoning about air-attacked targets selection in terms of SoS antagonism, researched the basic combat form of air-attack SoS, and accorded to the decision making system needs, integrated the decision making behavior mechanism, established synthesis reasoning model based on interval number. Then, put forward rules of air-attacked targets selection, and exhibited a method of targets optimize selection based on reasoning. A simulated example showed that the method can as a part of combat simulation system in terms of SoS antagonism, and to provide intelligence accessorial decision for command.