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Evaluating the Efficiency of Higher Secondary Education State Boards in India: A DEA-ANN Approach

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Book cover Intelligent Systems Design and Applications (ISDA 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 736))

Abstract

This study proposes the integration of two nonparametric methodologies - Data Envelopment Analysis and Artificial Neural Network for efficiency evaluation. The paper initially outlines the research work conducted in the education sector using DEA and ANN. Furthermore, the case study for the paper is conducted on various State Boards (which are used as DMU’s) in Indian Higher Secondary Education System for efficiency evaluation using DEA which is integrated with soft computing technique ANN in order to increase discriminatory power, ranking and future prediction. The above two methods are compared on their practical use as a performance measurement tool on a set of Indian State Boards in Indian Higher Secondary Education System with multiple inputs and outputs criteria. The results demonstrate that ANN-DEA Integration optimizes the performance and increases the discriminatory power and ranking of the decision making units.

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Authors and Affiliations

  1. Indian Institute of Technology Roorkee, Roorkee, 247667, Utttrakhand, India

    Natthan Singh & Millie Pant

Authors
  1. Natthan Singh
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  2. Millie Pant
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Correspondence to Natthan Singh .

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Editors and Affiliations

  1. Machine Intelligence Research Labs , Auburn, Washington, USA

    Ajith Abraham

  2. Department of Computer Science, South Asian University, Chanakyapuri, Delhi, India

    Pranab Kr. Muhuri

  3. Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka , Durian Tunggal, Melaka, Malaysia

    Azah Kamilah Muda

  4. Machine Intelligence Research Labs , Auburn, Washington, USA

    Niketa Gandhi

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Singh, N., Pant, M. (2018). Evaluating the Efficiency of Higher Secondary Education State Boards in India: A DEA-ANN Approach. In: Abraham, A., Muhuri, P., Muda, A., Gandhi, N. (eds) Intelligent Systems Design and Applications. ISDA 2017. Advances in Intelligent Systems and Computing, vol 736. Springer, Cham. https://doi.org/10.1007/978-3-319-76348-4_90

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  • DOI: https://doi.org/10.1007/978-3-319-76348-4_90

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-76347-7

  • Online ISBN: 978-3-319-76348-4

  • eBook Packages: EngineeringEngineering (R0)

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