A New Hybrid Methodology Based on Data Envelopment Analysis and Neural Network for Optimization of Performance Evaluation
الموضوعات : مجله بین المللی ریاضیات صنعتیA. Namakin 1 , S. E. Najafi 2 , M. Fallah 3 , M. Javadi 4
1 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
2 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
3 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
4 - Department of Industrial Engineering, Science and Research Branch, Islamic Azad University, Tehran, Iran.
الکلمات المفتاحية: Efficiencyو Linear Programming, Levenberg–Marquardt (LM), Artificial Neural Network, Data Envelopment Analysis,
ملخص المقالة :
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.
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