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, cilt.36, sa.4, ss.160-177, 2025 (SCI-Expanded, Scopus) identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 36 Sayı: 4
  • Basım Tarihi: 2025
  • Doi Numarası: 10.7166/36-4-3251
  • Dergi Adı: South African Journal of Industrial Engineering
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Compendex, Directory of Open Access Journals
  • Sayfa Sayıları: ss.160-177
  • Ankara Üniversitesi Adresli: Evet

Özet

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.