Efficiency measures in DEA with grey interval data under the hypotheses of data consistency
Some methods have been developed to calculate the interval efficiencies of decision making unit (DMU) in DEA model with interval data, in which there are two shortcomings.One is that the evaluated DMU and referenced DMUs are not be dealt with fairly, as they are not counterparts in locations of inputs and outputs within possible ranges.Another is that efficiency intervals may be too wide to provide valuable information.This paper proposes the hypotheses of data consistency in DEA model.Under the hypotheses, linear programming(LP)models to solve the upper and lower bounds of interval efficiencies are established.Lengths of efficiency intervals under the hypotheses are shorter, which produces more reliable and informative evaluation results and DUMs are deal with more fair.
Data employment analysis Interval efficiency Data consistency hypothesis interval data
Wang Jiefang Liu Sifeng
School of Management and Economic North China University of Water resources and Electric power Zheng School of Economic and Management Nanjing University of Aeronautics and Astronautics Nanjing,PR Chin
国际会议
南京
英文
463-466
2011-09-15（万方平台首次上网日期，不代表论文的发表时间）