%0 Journal Article
%A FAN Jianping
%A ZHANG Xiaojie
%A WU Meiqin
%T Weighted dynamic network SBM-DEA model based on group decision making
%D 2018
%R 10.3778/j.issn.1002-8331.1701-0112
%J Computer Engineering and Applications
%P 251-257
%V 54
%N 12
%X There are three main problems in the application of the traditional DEA models. The first one is how to reflect the subjective attitude of the evaluator. The second one is how to improve the resolution of the dynamic network DEA models when the number of decision making units is small. The third one is how to reasonably determine the weight of each period. In order to solve the above problems, this paper puts forward the concept of “transition period” firstly and predicts input and output data in transition period. And the exponential decay method is proposed to determine the weight of each period. Then this paper constructs a weighted dynamic network SBM-DEA model based on group decision making. Finally, the proposed model is applied to evaluate the efficiency of 16 listed banks of China. The results show that the improved model not only solves the existing problems effectively, but also makes the evaluation results more objective.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.1701-0112