Application of multi-criteria decision-making under uncertainty in personnel selection of academic staff

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73605166" target="_blank" >RIV/61989592:15310/20:73605166 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/26867184:_____/20:N0000024

Výsledek na webu

<a href="http://emijournal.cz/wp-content/uploads/2020/11/08_APPLICATION-OF-MULTI-CRITERIA-DECISION-MAKING-UNDER-UNCERTAINTY-IN-PERSONNEL-SELECTION-OF-ACADEMIC-STAFF.pdf" target="_blank" >http://emijournal.cz/wp-content/uploads/2020/11/08_APPLICATION-OF-MULTI-CRITERIA-DECISION-MAKING-UNDER-UNCERTAINTY-IN-PERSONNEL-SELECTION-OF-ACADEMIC-STAFF.pdf</a>

DOI - Digital Object Identifier

—

Jazyk výsledku

angličtina

Název v původním jazyce

Application of multi-criteria decision-making under uncertainty in personnel selection of academic staff

Popis výsledku v původním jazyce

Selecting the best personnel among several applicants is an important and complex multi-criteria decision-making problem for human resources management. In recent years, a growing interest in university academic staff selection has been noted since the quality of staff has a direct influence on the organization’s effectiveness. The process of selecting a suitable academic staff contains various types of uncertainty. The uncertainty arises especially when the qualitative criteria are considered and the candidates are evaluated verbally, or when the importance of criteria is not described precisely. A suitable tool for describing and dealing with the uncertainty brings fuzzy sets theory that was introduced in 1965 by Lotfi A. Zadeh and that has been subsequently applied to many fields in engineering and science. In this paper, the fuzzy multi-criteria decision-making model based on the fuzzy weighted average will be developed to solve the academic staff selection problem. The model will contain 6 criteria (specified according to the suggestions of experts from the HR college and university managements) and their importance will be described by triangular normalized fuzzy weights. The final evaluations of the candidates will be obtained by the fuzzy weighted averages of fuzzy evaluations with respect to the criteria. The ordering of candidates will be based on the centres of gravity and visual examination of the graphs of membership functions of their fuzzy evaluations.

Název v anglickém jazyce

Application of multi-criteria decision-making under uncertainty in personnel selection of academic staff

Popis výsledku anglicky

Selecting the best personnel among several applicants is an important and complex multi-criteria decision-making problem for human resources management. In recent years, a growing interest in university academic staff selection has been noted since the quality of staff has a direct influence on the organization’s effectiveness. The process of selecting a suitable academic staff contains various types of uncertainty. The uncertainty arises especially when the qualitative criteria are considered and the candidates are evaluated verbally, or when the importance of criteria is not described precisely. A suitable tool for describing and dealing with the uncertainty brings fuzzy sets theory that was introduced in 1965 by Lotfi A. Zadeh and that has been subsequently applied to many fields in engineering and science. In this paper, the fuzzy multi-criteria decision-making model based on the fuzzy weighted average will be developed to solve the academic staff selection problem. The model will contain 6 criteria (specified according to the suggestions of experts from the HR college and university managements) and their importance will be described by triangular normalized fuzzy weights. The final evaluations of the candidates will be obtained by the fuzzy weighted averages of fuzzy evaluations with respect to the criteria. The ordering of candidates will be based on the centres of gravity and visual examination of the graphs of membership functions of their fuzzy evaluations.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

—

OECD FORD obor

10102 - Applied mathematics

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název periodika

Ekonomika Management Inovace

ISSN

1804-1299

e-ISSN

—

Svazek periodika

12

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

10

Strana od-do

55-64

Kód UT WoS článku

—

EID výsledku v databázi Scopus

—