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Evaluation of Schools of University and Analysis of Obstacle Factors under the Background of High-Quality Development

Author

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  • Huiping Chen

    (School of Economics and Management, Nantong University, Nantong 226019, China)

Abstract

Currently, promoting the high-quality development (HQD) of higher education is an urgent need of the country, which is the requirement for achieving stable and sustainable development. As the main bodies of the university, the development levels of the schools directly affect universities’ development. To improve universities’ comprehensive strength, this paper proposes an integrated framework for HQD evaluation and obstacle-factor analysis for schools. To address this problem, combining the management by objectives (MBO) constructs an HQD evaluation model of schools of university covering different aspects. Meanwhile, the obstacle diagnosis model is utilized to analyze the main obstacle factors that restrict the improvement of HQD level of the schools. Moreover, taking into account the vagueness and imprecision in real life, index weights and expert weights are determined through the intuitionistic fuzzy set (IFS). Finally, a practical problem was chosen to illustrate the efficiency and applicability of the proposed framework and some suggestions from different perspectives are given according to the analysis of results.

Suggested Citation

  • Huiping Chen, 2023. "Evaluation of Schools of University and Analysis of Obstacle Factors under the Background of High-Quality Development," Sustainability, MDPI, vol. 15(4), pages 1-14, February.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:4:p:3754-:d:1072574
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    References listed on IDEAS

    as
    1. Xumei Yuan & Cuicui Zheng, 2022. "Improved Intuitionistic Fuzzy Entropy and Its Application in the Evaluation of Regional Collaborative Innovation Capability," Sustainability, MDPI, vol. 14(5), pages 1-14, March.
    2. Na Guo & Hui Chen, 2022. "Comprehensive Evaluation and Obstacle Factor Analysis of High-Quality Development of Rural E-Commerce in China," Sustainability, MDPI, vol. 14(22), pages 1-22, November.
    3. Mohamed Hanine & Omar Boutkhoum & Fatima El Barakaz & Mohamed Lachgar & Noureddine Assad & Furqan Rustam & Imran Ashraf, 2021. "An Intuitionistic Fuzzy Approach for Smart City Development Evaluation for Developing Countries: Moroccan Context," Mathematics, MDPI, vol. 9(21), pages 1-22, October.
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