Interval DEA and its application in efficient evaluation of textile industry
Junpeng Guo · 2005
During efficient evaluating by DEA, the inputs and outputs of DMUs may be intervals because of insufficient information or measure error. For this reason, interval DEA is proposed. To solve IDEA, the error of regarding IDEA as general interval linear programming is pointed out. On the basis of analyzing the practical economic meaning of IDEA, by projecting the interval data of each DMU on special points, the model of solving each DMU′s interval efficient score is built. Based on this, all the DMUs are classified. Finally, this method is applied to evaluating and forecasting efficient on the industries of the local textile industry.