摘要
在现代战争中,示假伪装的地位越来越重要,目前小型制式武器装备的示假伪装应用较为成熟。引入了真假目标的发现识别概率的指数分布模型,综合考虑作战时间、真假目标价格比等因素,确定战场生存能力和配置假目标成本两个目标函数,并以最小加权偏差法确定两者权重,建立基于多目标决策的假目标配置数量模型。最后结合实际问题,将各参数条件带入模型计算出假目标的最佳配置数量,同时利用假目标的效费比模型进行检验分析,从而为战时假目标配置数量的确定提供参考依据。
Decoy camouflage is becoming more and more important in modem battle, especially for the compact armament. This paper introduces the exponential distributing function model of the probability of detecting and identifying targets, considers the factors such as the battle time, the value ratio between two targets overall, sets the object functions of the livability of real targets and the cost of laid fault targets, whose weights are determined by a new optimization method of lowest deviation of weight. According to the above analysis, the quantity of fault targets model based on multiple objective decision making Model is built up. When the optimized quantity of fault targets is calculated from the model given the assumed parameters, the paper judges it by its effectiveness-cost ratio, and finally provides the reference for the laid quantity of fault targets in practical operation.
出处
《指挥控制与仿真》
2012年第4期70-73,共4页
Command Control & Simulation
关键词
假目标
配置数量
多目标决策
效费比
fault targets
laid quantity
multiple objective decision making
effectiveness-cost ratio