A Framework for Measuring Mental Workloads of Faculty Members and Evaluating Significant Differences Through Integrated Carmen-Q And Fuzzy AHP

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DOI:

https://doi.org/10.7166/36-4-3251

Abstract

This study evaluates the mental workloads of academic staff in Turkey, and examines the differences based on academic titles. Mental workload, which is critical for occupational health and safety, is assessed using a hybrid approach combining the CarMen-Q mental workload scale and the fuzzy analytical hierarchy process. The scale has four main factors and 29 sub-factors. An original algorithm was developed using fuzzy logic, α-cut, and an optimism index for defuzzification. The internal consistency of the study is high (α = 0.94). This research presents a novel contribution by integrating fuzzy logic into academic mental workload assessment.

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Published

2025-12-12

How to Cite

Samet, T., & Ibrahim, Y. (2025). A Framework for Measuring Mental Workloads of Faculty Members and Evaluating Significant Differences Through Integrated Carmen-Q And Fuzzy AHP. The South African Journal of Industrial Engineering, 36(4), 160–177. https://doi.org/10.7166/36-4-3251

Issue

Vol. 36 No. 4 (2025): The South African Journal of Industrial Engineering

Section

General Articles

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