IJBTT

A Systematic Review and Meta-Analysis of Fuzzy Logic for Students’ Performance Assessment

A Systematic Review and Meta-Analysis of Fuzzy Logic for Students’ Performance Assessment
	© 2025 by IJETT Journal
	Volume-73 Issue-9
	Year of Publication : 2025
	Author : Tran Anh Tuan, Nguyen Duy Tho, Nguyen Huu Nghia, Dao Thi Thanh Loan
	DOI : 10.14445/22315381/IJETT-V73I9P114

How to Cite?
Tran Anh Tuan, Nguyen Duy Tho, Nguyen Huu Nghia, Dao Thi Thanh Loan,"A Systematic Review and Meta-Analysis of Fuzzy Logic for Students’ Performance Assessment", International Journal of Engineering Trends and Technology, vol. 73, no. 9, pp.155-174, 2025. Crossref, https://doi.org/10.14445/22315381/IJETT-V73I9P114

Abstract
Assessment of students’ performance using fuzzy logic provides high flexibility and reliability in education. This study aims to apply a systematic review and meta-analysis to synthesize the findings of selected studies in this field, with a focus on the effects of fuzzy logic system configurations on students’ performance assessment outcomes, focusing on subgroup analyses to explore variations across input and output factors. A total of 109 articles were retrieved from databases, including ScienceDirect, Springer, IEEE, Scopus, and Google Scholar, for qualitative and quantitative syntheses. Among these, 46 studies reported both fuzzy and non-fuzzy median scores and were included in the meta-analysis. Results showed that output member functions achieved the highest median scores (≥ 89.50), and subgroup analyses revealed significant heterogeneity across studies (I² ≥ 75%, p <0.01). Frequency-based combinations of fuzzy variables generally outperformed non-frequency configurations, enhancing system granularity and accuracy. These findings highlight the importance of optimizing fuzzy logic system designs to improve student performance assessment.

Keywords
Students’ performance, Students’ performance assessment, Fuzzy logic, Systematic review, Meta-analysis.

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