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Application of Probabilistic Fuzzy Set to Subjective Workload Assessment

Listed author(s):
  • Nait-Said, R.

    (University of Batna)

  • Loukia, H.

    (University of Constantine)

Registered author(s):

    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.

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    Article provided by International Association for Fuzzy-set Management and Economy (SIGEF) in its journal FUZZY ECONOMIC REVIEW.

    Volume (Year): IX (2004)
    Issue (Month): 2 (November)
    Pages: 75-112

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    Handle: RePEc:fzy:fuzeco:v:ix:y:2004:i:2:p:75-112
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