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

Samet T., Ibrahim Y.

South African Journal of Industrial Engineering, vol.36, no.4, pp.160-177, 2025 (SCI-Expanded, Scopus) identifier identifier

  • Publication Type: Article / Article
  • Volume: 36 Issue: 4
  • Publication Date: 2025
  • Doi Number: 10.7166/36-4-3251
  • Journal Name: South African Journal of Industrial Engineering
  • Journal Indexes: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Directory of Open Access Journals
  • Page Numbers: pp.160-177
  • Ankara University Affiliated: Yes

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.