ANN embedded data envelopment analysis approach for measuring the efficiency of state boards in India

Natthan Singh (), Millie Pant () and Amit Goel ()
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Natthan Singh: Indian Institute of Technology Roorkee
Millie Pant: Indian Institute of Technology Roorkee
Amit Goel: Institute of Engineering and Technology

International Journal of System Assurance Engineering and Management, 2018, vol. 9, issue 5, No 10, 1092-1106

Abstract: Abstract In the present study, the authors propose DE(A)NN, an integration of data envelopment analysis (DEA) and artificial neural networks (ANN) as a decision making tool. The performance of proposed DE(A)NN is validated on a case study for measuring the relative efficiency of 21 Indian state education boards. As expected, it is observed that DE(A)NN increases the discriminatory power of DEA for ranking of the decision making units.

Keywords: Data envelopment analysis; Relative efficiency; Artificial neural network (ANN); DE(A)NN approach; State boards; Higher secondary education (search for similar items in EconPapers)
Date: 2018
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DOI: 10.1007/s13198-018-0743-8

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