Applying the Concept of Experton to Fuzzy Mental Workload Modeling

R. Nait-Said and H. Loukia
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R. Nait-Said: University of Batna
H. Loukia: University of Constantine

Fuzzy Economic Review, 2003, vol. VIII, issue 1, 39-63

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.

Keywords: mental workload modeling; load-experton; fuzziness; affinity relations (search for similar items in EconPapers)
JEL-codes: D80 J24 (search for similar items in EconPapers)
Date: 2003
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Persistent link: https://EconPapers.repec.org/RePEc:fzy:fuzeco:v:viii:y:2003:i:1:p:39-63

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