Application of Probabilistic Fuzzy Set to Subjective Workload Assessment

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

Fuzzy Economic Review, 2004, vol. IX, issue 2, 75-112

Abstract: 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. Com-pared 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.

Keywords: subjective workload assessment; probabilistic fuzzy set; fuzzy dominance relation; non-numerical algorithms (search for similar items in EconPapers)
JEL-codes: M50 (search for similar items in EconPapers)
Date: 2004
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:fzy:fuzeco:v:ix:y:2004:i:2:p:75-112

Access Statistics for this article

More articles in Fuzzy Economic Review from International Association for Fuzzy-set Management and Economy (SIGEF) Contact information at EDIRC.
Bibliographic data for series maintained by Aurelio Fernandez ( this e-mail address is bad, please contact ).