Data envelopment analysis with fuzzy inference system to evaluate the performance of higher education institutions

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Integrated model demonstrates enhanced performance evaluation methods for higher education institutions, suggesting improved efficiency.

The proposed model significantly enhances the discriminative power of decision-making units in performance evaluation.
Using data envelopment analysis and fuzzy inference system results in more realistic weights for inputs and outputs.
Factor analysis was applied to recognize data patterns, integrating expert judgments into the evaluation process.
Kruskal-Wallis test confirms that the model offers a lower average efficiency ranking than other established evaluation methods.

Sharifi et al. (2025) studied this question.

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