Vector and triangular representations of project estimation uncertainty: effect of gender on usability

Dorota Kuchta, Jerzy Grobelny, Rafał Michalski (rafal.michalski@pwr.edu.pl) and Jan Schneider
Additional contact information
Jan Schneider: http://RafalMichalski.com

No WORMS/21/11, WORking papers in Management Science (WORMS) from Department of Operations Research and Business Intelligence, Wroclaw University of Science and Technology

Abstract: The paper proposes a new visualisation in the form of vectors of not-fully-known quantitative features. The proposal is put in the context of project defining and planning and the importance of visualisation for decision making. The new approach is empirically compared with the already known visualisation utilizing membership functions of triangular fuzzy numbers. The designed and conducted experiment was aimed at evaluating the usability of the new approach according to ISO 9241-11. Overall 76 subjects performed 72 experimental conditions designed to assess the effectiveness of uncertainty conveyance. Efficiency and satisfaction were examined by participants subjective assessment of appropriate statements. The experiment results show that the proposed visualisation may constitute a significant alternative to the known, triangle-based visualisation. The paper emphasizes potential advantages for the proposed representation for project management and in other areas.

Keywords: fuzzy number visualisation; fuzzy number vector representation; visual processing; project uncertainty; usability (search for similar items in EconPapers)
JEL-codes: C00 D01 D03 D20 D29 D81 D83 D87 L00 L11 L15 L86 M15 O22 (search for similar items in EconPapers)
Pages: 14 pages
Date: 2021
New Economics Papers: this item is included in nep-exp and nep-ppm
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Citations:

Forthcoming in Kuchta D., Grobelny J., Michalski R., Schneider J. (2021). Vector and triangular representations of project estimation uncertainty: effect of gender on usability. International Conference on Computational Science, ICCS-2021, Lecture Notes in Computer Science, Springer.

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https://worms.pwr.edu.pl/RePEc/ahh/wpaper/WORMS_21_11.pdf Final version, 2021 (application/pdf)

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