摘要
针对传统数据包络分析模型不能区分有效决策单元以及不同决策单元的效率缺乏可比性问题,引入最优和最差两个虚拟决策单元,提出一种有效区分决策单元的DEA模型.该方法借助两个虚拟决策单元,建立模型,求出一组公共权重,并以此为基准计算每个决策单元的效率指数,实现决策单元的排序.通过实例,与其它方法比较,验证该方法在区分决策单元方面更有效.
To the disadvantages of data envelopment analysis（DEA） in distinguish of efficient decision making units （DMUs） and comparability of different DMUs, a DEA model for effectively distinguishing DMUs is proposed by introducing the best DMU and the worst DMU. By means of the two virtual DMUs, the model to determine common weights is made. Based on the common weights, the efficiency measure of each DMU is calculated and the rankings of all DMUs are achieved. Compared with others by experiments, the method is more effective in distinguishing DMUs.
出处
《系统工程理论与实践》
EI
CSCD
北大核心
2006年第3期112-116,共5页
Systems Engineering-Theory & Practice
