Article ID: | iaor20062648 |
Country: | Spain |
Volume: | 9 |
Issue: | 2 |
Start Page Number: | 93 |
End Page Number: | 112 |
Publication Date: | Nov 2004 |
Journal: | Fuzzy Economic Review |
Authors: | Nait-Said R., Loukia H. |
Keywords: | fuzzy sets, economics |
This article presents a new approach in workload assessment using fuzzy set theory. Operators' judgments are aggregated using Probabilistic Fuzzy Set (PFS), a multidimensional workload assessment instrument. Then, to deal with ordering of workload dimensions, information contained in this instrument is analysed using Fuzzy Dominance Relations (FDR) and non-numerical algorithms. The approach is applied to operators of milk-conditioning process, who are asked to give a judgment on four factors: execution speed, muscular effort, attention, and frustration. Compared to direct method based on simple average, the present approach allows for maintaining information entropy, and offers a selective analysis of factors (or posts) related to workload.