BANK EFFICIENCY EVALUATION USING A NEURAL NETWORK-DEA METHOD

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ASLANI G.; MOUMENI MASOULEH S.H.A.; MALEK A.; GHORBANI F.

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Journal Paper

Paper Information

Journal: Iranian Journal of Mathematical Sciences and Informatics Year:2009 | Volume:4 | Issue:2 Page(s): 33-48

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Title

BANK EFFICIENCY EVALUATION USING A NEURAL NETWORK-DEA METHOD

Author(s)

ASLANI G. | MOUMENI MASOULEH S.H.A. | MALEK A. | GHORBANI F. | Issue Writer Certificate

Keywords

DATA ENVELOPMENT ANALYSIS

NEURAL NETWORKS

EFFICIENCY

MULTILAYERED PERCEPTRON

RADIAL BASIS FUNCTION

K-MEANS CLUSTERING METHOD

Abstract

In the present time, evaluating the performance of banks is one of the important subjects for societies and the bank managers who want to expand the scope of their operation. One of the non-parametric approaches for evaluating EFFICIENCY is DATA ENVELOPMENT ANALYSIS (DEA). By a mathematical programming model, DEA provides an estimation of EFFICIENCY surfaces. A major problem faced by DEA is that the frontier calculated by DEA may be slightly distorted if the data is affected by statistical noises. In recent years, using the NEURAL NETWORKS is a powerful non-parametric approach for modeling the nonlinear relations in a wide variety of decision making applications. The RADIAL BASIS FUNCTION NEURAL NETWORKS (RBFNN) have proved significantly beneficial in the evaluation and assessment of complex systems. Clustering is a method by which a large set of data is grouped into clusters of smaller sets of similar data. In this paper, we proposed RBFNN with the K-MEANS CLUSTERING METHOD for the EFFICIENCY evaluation of a large set of branches for an Iranian bank. This approach leads to an appropriate classification of branches. The results are compared with the conventional DEA results. It is shown that, using the hybrid learning method, the weights of the neural network are convergent.

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APA: Copy

ASLANI, G., MOUMENI MASOULEH, S.H.A., MALEK, A., & GHORBANI, F.. (2009). BANK EFFICIENCY EVALUATION USING A NEURAL NETWORK-DEA METHOD. IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS (IJMSI), 4(2), 33-48. SID. https://sid.ir/paper/310294/en

Vancouver: Copy

ASLANI G., MOUMENI MASOULEH S.H.A., MALEK A., GHORBANI F.. BANK EFFICIENCY EVALUATION USING A NEURAL NETWORK-DEA METHOD. IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS (IJMSI)[Internet]. 2009;4(2):33-48. Available from: https://sid.ir/paper/310294/en

IEEE: Copy

G. ASLANI, S.H.A. MOUMENI MASOULEH, A. MALEK, and F. GHORBANI, “BANK EFFICIENCY EVALUATION USING A NEURAL NETWORK-DEA METHOD,” IRANIAN JOURNAL OF MATHEMATICAL SCIENCES AND INFORMATICS (IJMSI), vol. 4, no. 2, pp. 33–48, 2009, [Online]. Available: https://sid.ir/paper/310294/en

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