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The application of the fuzzy aggregation norms to technical staff tasks delegation

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dc.contributor.author Mrela, Aleksandra
dc.contributor.author Sokolov, Oleksandr
dc.contributor.author Śmigielski, Grzegorz
dc.contributor.author Sokolov, Oleksii
dc.contributor.author Uczciwek, Szymon
dc.date.accessioned 2019-07-08T05:35:23Z
dc.date.available 2019-07-08T05:35:23Z
dc.date.issued 2019-07-01
dc.identifier.citation Journal of Education, Health and Sport, No. 7, Vol. 9, pp. 215-227
dc.identifier.issn 2391-8306
dc.identifier.other doi:10.5281/zenodo.3269658
dc.identifier.uri http://repozytorium.umk.pl/handle/item/5914
dc.description.abstract The methods for calculating professional competence levels of technicians based on fuzzy relations and the optimistic fuzzy aggregation norm has been proposed. Since it is difficult to estimate levels of professional competence of all tasks by all members of a team of technicians, the proposed method depends on a sequence of fuzzy relations which values are relatively easy to estimate and which the S-T-compositions produces the fuzzy relation of professional competence of all technicians. The proposed method is compared with the application of Minkowski metrics which is one of the objective methods of searching the best object in multi-criteria decision systems. Based on these two methods, the ranking of technicians can be prepared. Moreover, the method of results visualization is proposed.
dc.language.iso eng
dc.rights Attribution-NonCommercial-ShareAlike 4.0 International
dc.rights info:eu-repo/semantics/openAccess
dc.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
dc.subject professional competence
dc.subject fuzzy relation
dc.subject optimistic fuzzy aggregation norm
dc.subject visualisation
dc.subject Minkowski metric
dc.title The application of the fuzzy aggregation norms to technical staff tasks delegation
dc.type info:eu-repo/semantics/article


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