A New Hybrid Methodology Based on Data Envelopment Analysis and Neural Network for Optimization of Performance Evaluation

In this paper, a new method of combining ANN and DEA (ANN-DEA) presented in which the input and output values for a large number of DMUs determined as neural network inputs. We have also compared the new model with the existing approach of ANN-DEA. To illustrate the ability of the proposed methodology some case studies are used, including a set of ۵۰۰ Iranian bank branches.

کلیدواژه ها:

Data Envelopment Analysis ، Artificial Neural Network ، Levenberg–Marquardt (LM) ، Efficiencyو Linear Programming