A NEURAL NETWORK MODEL TO SOLVE DEA PROBLEMS

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DOLATABADI S.; REZAI ZHIANI H.

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Paper Information

Journal: INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS Year:2014 | Volume:2 | Issue:3 (7) Page(s): 473-479

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Information Journal Paper

Title

A NEURAL NETWORK MODEL TO SOLVE DEA PROBLEMS

Author(s)

DOLATABADI S. | REZAI ZHIANI H. | Issue Writer Certificate

Keywords

DATA ENVELOPMENT ANALYSIS (DEA)Q4

NEURAL NETWORKSQ4

Abstract

The paper deals with Data Envelopment Analysis (DEA) and Artificial Neural Network (ANN). We believe that solving for the DEA efﬁciency measure, simultaneously with neural network model, provides a promising rich approach to optimal solution. In this paper, a new neural network model is used to estimate the inefficiency of DMUs in large datasets.

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APA: Copy

DOLATABADI, S., & REZAI ZHIANI, H.. (2014). A NEURAL NETWORK MODEL TO SOLVE DEA PROBLEMS. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, 2(3 (7)), 473-479. SID. https://sid.ir/paper/242757/en

Vancouver: Copy

DOLATABADI S., REZAI ZHIANI H.. A NEURAL NETWORK MODEL TO SOLVE DEA PROBLEMS. INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS[Internet]. 2014;2(3 (7)):473-479. Available from: https://sid.ir/paper/242757/en

IEEE: Copy

S. DOLATABADI, and H. REZAI ZHIANI, “A NEURAL NETWORK MODEL TO SOLVE DEA PROBLEMS,” INTERNATIONAL JOURNAL OF DATA ENVELOPMENT ANALYSIS, vol. 2, no. 3 (7), pp. 473–479, 2014, [Online]. Available: https://sid.ir/paper/242757/en

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