摘要
针对现行作战决策算法解决战场目标排序中存在的问题,运用一种新的随机变量和统计特征的新方法解决战场目标排序问题。建立不确定多属性统计方法的模型,对目标威胁程度进行排序,并应用到战场目标排序中。实例说明了该方法的有效性,但随机变量的统计特征与随机变量分布本身包含的信息仍有差距,还需进一步研究。
Aiming at the problem of current campaign decision solving battle field sequencing,use a new statistical characteristic of the sum of random variables for the problem of targets sequencing.The uncertain multi-attribute decision making problem in which the attribute values are interval numbers is established.Finally,a numerical example is given to demonstrate its effectiveness.But the statistics features of random variable is different with the random variable features,the further research is needed.
出处
《兵工自动化》
2010年第5期22-23,共2页
Ordnance Industry Automation
关键词
多属性决策
统计方法
战场目标排序
Multi-attribute decision making
Statistical method
Battle field targets sequencing