Z-numbers Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

Z-numbers Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Z-numbers Based MCDM Approach for Personnel Selection at Institutions of Higher Education for Transportation

Popis výsledku anglicky

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.

Druh

J_imp - Článek v periodiku v databázi Web of Science

CEP obor

—

OECD FORD obor

50204 - Business and management

Projekt

—

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2024

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Mathematics

ISSN

2227-7390

e-ISSN

2227-7390

Svazek periodika

12

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

CH - Švýcarská konfederace

Počet stran výsledku

21

Strana od-do

1-21

Kód UT WoS článku

001168238900001

EID výsledku v databázi Scopus

2-s2.0-85187274091