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

Author

Listed:
  • Natthan Singh

    (Indian Institute of Technology Roorkee
    Institute of Engineering and Technology)

  • Millie Pant

    (Indian Institute of Technology Roorkee)

  • Amit Goel

    (Institute of Engineering and Technology)

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.

Suggested Citation

  • Natthan Singh & Millie Pant & Amit Goel, 2018. "ANN embedded data envelopment analysis approach for measuring the efficiency of state boards in India," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1092-1106, October.
    • Handle: RePEc:spr:ijsaem:v:9:y:2018:i:5:d:10.1007_s13198-018-0743-8
    DOI: 10.1007/s13198-018-0743-8
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