基于GAHP和熵法的虚拟训练综合评价

针对武器装备虚拟训练中评价一次操作数据无法客观反映受评者真实水平问题,提出了基于灰色层次分析和熵理论的虚拟训练评价方法。在获取每名受评者操作数据样本的前提下,通过灰色层次分析,确定指标层次和初始权重,利用灰色评估方法确定相应指标的灰类,对灰数归一化加权得到每个指标的评分,并确定综合总评分;引入不稳定因子,借助熵法确定受评者每个指标的不稳定性。最后,通过实例验证了方法的有效性,并根据不稳定因子和各指标评分向受评者提供了后续训练提升的建议。

Evaluation of Virtual Training Based on GAHP and Entropy Method

In view of the weapon virtual training in evaluation of an operating data can’t reflect the real level of ratee,based on grey analytic hierarchy process and entropy theory is proposed virtual training evaluation method. On the premise of operational data examples for ratees,through the grey analytic hierarchy,index level and the initial weights are sure,grey evaluation method is used to determine the corresponding indicators of grey classes,the grey class normalized weighted score of each index,and comprehensive scores are determined;unstable factors are introduced,with the aid of entropy method,the instability of each index are sure. Finally an example to verify the validity of the method,and according to the unstable factors and points of each index provide the follow-up training improve advice.