计算机工程与应用2018，Vol.54Issue(12)：251-257,7.DOI:10.3778/j.issn.1002-8331.1701-0112
基于群决策的加权动态网络SBM-DEA模型
Weighted dynamic network SBM-DEA model based on group deci-sion making
范建平 1张晓杰 1吴美琴1
作者信息
- 1. 山西大学 经济与管理学院,太原 030006
- 折叠
摘要
Abstract
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.关键词
动态网络DEA/多准则群决策/松弛变量Key words
dynamic network DEA/group decision making/slacks分类
自科综合引用本文复制引用
范建平,张晓杰,吴美琴..基于群决策的加权动态网络SBM-DEA模型[J].计算机工程与应用,2018,54(12):251-257,7.
