A Neural Network Model to Solve DEA Problems

الموضوعات : International Journal of Data Envelopment Analysis

S. Dolatabadi ¹ , H. Rezai Zhiani ²

1 - Department of Mathematics, Islamic Azad University, Mashhad Branch, Mashhad, Iran
2 - Department of Mathematics, Islamic Azad University, Mashhad Branch, Mashhad, Iran

تاريخ الإرسال : 25 الجمعة , جمادى الثانية, 1435 تاريخ التأكيد : 22 الإثنين , شوال, 1435 تاريخ الإصدار : 22 الإثنين , شوال, 1435

الکلمات المفتاحية: Data envelopment analysis (DEA, Neural Networks,

ملخص المقالة :

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.