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

International Journal of Industrial Mathematics | ||

دوره 13، شماره 4، دی 2021، صفحه 395-409 اصل مقاله (725.13 K) | ||

نوع مقاله: Research Paper | ||

نویسندگان | ||

A. Namakin؛ S. E. Najafi ^{} ؛ M. Fallah؛ M. Javadi
| ||

^{}Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran. | ||

چکیده | ||

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 500 Iranian bank branches. | ||

کلیدواژهها | ||

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

مراجع | ||

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