基于公共权重数据包络分析的军事训练绩效排序  

Ranking of military training performances based on data envelopment analysis of common weights

作　　者：张有亮[1] 张宏军 张睿[1] 杨波江[2] 曾子林[1,3] 郭利生[4] 

机构地区：[1]解放军理工大学指挥信息系统学院 [2]解放军理工大学 [3]南昌陆军学院 [4]中国人民解放军66242部队

出　　处：《计算机应用》2015年第4期1196-1199,共4页journal of Computer Applications

基　　金：国家自然科学基金资助项目(70971137);国家社会科学基金资助项目(13QJ004-098)

摘　　要：针对传统数据包络分析(DEA)公共权重生成方法不同时具备线性、规模无关优点的问题,根据军事训练绩效评估需求,提出了一种新的DEA公共权重生成方法。该方法以DEA有效单位为计算基础,首先对训练数据进行归一化,然后运用多目标规划模型求解,绩效排序结果更加公平合理,并且同时具有线性、规模无关的优点。最后,通过一个军事应用,证明了该方法科学、有效。Conventional approaches for Common Weights（ CW） generation in Data Envelopment Analysis（ DEA） are either non-linear or scale-relevant. To solve this problem, according to the demand of military training performance evaluation,a new method was proposed to generate CW in DEA. The new method took DEA efficient units as the basis of calculation.Firstly, training data were normalized, and then multi-objective programing was employed for CW generation, which can lead to a fairer and more reasonable ranking of performances. The proposed method is not only linear, but also scale-irrelevant.Lastly, a military application illustrates that the proposed method is scientific and effective.

关 键 词：军事训练 绩效 排序 数据包络分析 公共权重 线性 多目标规划 

分 类 号：N945.16[自然科学总论—系统科学] E917[军事]