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

Result code in 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>

Alternative codes found

RIV/26867184:_____/20:N0000024

Result on the web

<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

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Result language

angličtina

Original language name

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

Original language description

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.

Czech name

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Czech description

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Type

J_ost - Miscellaneous article in a specialist periodical

CEP classification

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OECD FORD branch

10102 - Applied mathematics

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2020

Confidentiality

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

Name of the periodical

Ekonomika Management Inovace

ISSN

1804-1299

e-ISSN

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Volume of the periodical

12

Issue of the periodical within the volume

2

Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

10

Pages from-to

55-64

UT code for WoS article

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EID of the result in the Scopus database

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