Z-numbers Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F24%3A39922493" target="_blank" >RIV/00216275:25510/24:39922493 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/2227-7390/12/4/523" target="_blank" >https://www.mdpi.com/2227-7390/12/4/523</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/math12040523" target="_blank" >10.3390/math12040523</a>
Alternative languages
Result language
angličtina
Original language name
Z-numbers Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation
Original language description
Personnel evaluation and selection problem is an essential part of modern business. The appro-priate candidate selection can significantly benefit companies in terms of increased profit, good culture, reputation, reduced costs, etc. This paper addresses the personnel evaluation and selection problem at the University of Pardubice, Faculty of Transport Engineering (UPCE). Since this is a typical ranking alternative problem where multiple criteria affect the decision, Z-numbers based Alternative Ranking Order Method Accounting for the two-step Normalization (AROMAN) is applied. Four Ph.D. candidates are assessed, and the most appropriate is selected to be employed by the UPCE. The Z-numbers fuzzy AROMAN method ranks Ph.D. candidate number four as the best alternative. To investigate the stability and sensitivity of the Z-number fuzzy AROMAN method, the values of parameters β and λ used in the mathematical calculations of the method were changed. The results of sensitivity analysis reveal that the obtained solution is stable. To confirm the robustness of the proposed approach, a comparative analysis is performed. Simple Additive Weighting (SAW), Weighted Product Model (WPM), and Z-number fuzzy TOPSIS were applied. The results confirm the high robustness of the proposed Z-number fuzzy AROMAN method.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
50204 - Business and management
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Mathematics
ISSN
2227-7390
e-ISSN
2227-7390
Volume of the periodical
12
Issue of the periodical within the volume
4
Country of publishing house
CH - SWITZERLAND
Number of pages
21
Pages from-to
1-21
UT code for WoS article
001168238900001
EID of the result in the Scopus database
2-s2.0-85187274091