具有非期望产出的混联网络DEA模型

数据包络分析(DEA)是评价系统相对有效性的分析方法,网络DEA模型在评价企业的经济效益、管理效益等实际问题中有着广泛的应用.在网络DEA模型的基础上考虑非期望产出要素,提出了具有非期望产出的混联网络DEA模型.研究了新模型的系统弱DEA有效与各子阶段弱DEA有效之间的关系,找到了无效决策单元的无效阶段,通过有针对性的改进能够提高系统的整体效率.最后通过数值算例验证了模型的可行性.

A Hybrid Network DEA Model with Undesirable Outputs

Data Envelopment Analysis (DEA) is an analytical method to evaluate the relative validity of a system, the network DEA model has been widely applied in the evaluation of the practical problems of economic enterprises, management efficiency and the like. Based on the network DEA model, the undesirable output factors are considered, and a hybrid network DEA model with undesirable output is proposed. The relationship between the weak DEA efficiency of the new model and the weak DEA efficiency of each sub-stage is studied. The invalid stage of invalid decision-making unit is found, and the overall efficiency of the system can be improved through targeted improvement. Finally, a numerical example is given to verify the feasibility of the model.