Apply the concept of experton to fuzzy mental workload modeling

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 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.