A Neural Network Model to Solve DEA Problems

Subject Areas : International Journal of Data Envelopment Analysis

S. Dolatabadi ¹ (Department of Mathematics, Islamic Azad University, Mashhad Branch, Mashhad, Iran)
H. Rezai Zhiani ² (Department of Mathematics, Islamic Azad University, Mashhad Branch, Mashhad, Iran)

Received: 2014-04-25 Accepted : 2014-08-18 Published : 2014-08-18

Keywords: Data envelopment analysis (DEA, Neural Networks,

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.

References:

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NEW METHODS BASED ON STABILITY VERSUS CHANGES FOR EFFICIENT DECISION MAKING UNITS IN DATA ENVELOPMENT ANALYSIS
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A Neural Network Model to Solve DEA Problems