Effective Data Envelopment Analysis Method for Ranking Decision Making Units
有效区分决策单元的数据包络分析方法

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.