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Application of Probabilistic Fuzzy Set to Subjective Workload Assessment

Author

Listed:
  • Nait-Said, R.

    (University of Batna)

  • Loukia, H.

    (University of Constantine)

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.

Suggested Citation

  • Nait-Said, R. & Loukia, H., 2004. "Application of Probabilistic Fuzzy Set to Subjective Workload Assessment," Fuzzy Economic Review, International Association for Fuzzy-set Management and Economy (SIGEF), vol. 0(2), pages 75-112, November.
  • Handle: RePEc:fzy:fuzeco:v:ix:y:2004:i:2:p:75-112
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    More about this item

    Keywords

    subjective workload assessment; probabilistic fuzzy set; fuzzy dominance relation; non-numerical algorithms;

    JEL classification:

    • M50 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Personnel Economics - - - General

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