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Applying the Concept of Experton to Fuzzy Mental Workload Modeling

Author

Listed:
  • Nait-Said, R.

    (University of Batna)

  • Loukia, H.

    (University of Constantine)

Abstract

This paper presents a new approach in fuzzy mental workload modeling by using experton concept. The mental workload is represented by a Load-Experton (LE), a multidimensional aggregating tool, calculated with subjects’ judgments as a confidence intervals. Compared to averaging operator, LE has the advantage to keep information disorder. So, this instrument is subjected to two treatments. First, a fuzziness analysis using probabilistic and non-probabilistic entropy. Second, overall mental workload score is calculated using maximum, minimum, and averaging operators. A correlation analysis between mental workload dimensions and overall scores or between these scores is carried out using affinity concept and Galois lattice. The approach is applied to supervisory tasks in a petroleum manufactory.

Suggested Citation

  • Nait-Said, R. & Loukia, H., 2003. "Applying the Concept of Experton to Fuzzy Mental Workload Modeling," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(1), pages 39-63, May.
    • Handle: RePEc:fzy:fuzeco:v:viii:y:2003:i:1:p:39-63
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    More about this item

    Keywords

    mental workload modeling; load-experton; fuzziness; affinity relations;
    All these keywords.

    JEL classification:

    • D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
    • J24 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Human Capital; Skills; Occupational Choice; Labor Productivity

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