A fuzzy multi-criteria decision-making model for personnel selection of academic staff

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F20%3A73605169" target="_blank" >RIV/61989592:15310/20:73605169 - isvavai.cz</a>
Result on the web
<a href="http://idsconference.cz/wp-content/uploads/2020/07/International-Days-of-Science-2020-Proceedings.pdf" target="_blank" >http://idsconference.cz/wp-content/uploads/2020/07/International-Days-of-Science-2020-Proceedings.pdf</a>
DOI - Digital Object Identifier
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Result language
angličtina
Original language name
A fuzzy multi-criteria decision-making model for personnel selection of academic staff
Original language description
Selecting the best personnel among several applicants is a multi-criteria decision-making problem that contains various types of uncertainty. The uncertainty arises when the qualitative criteria are used which makes the partial evaluation uncertain and when the importance of criteria is not described precisely. The necessity of dealing with uncertainty in the personnel selection problems leads to fuzzy decision models since fuzzy sets theory brings a suitable tool for describing and dealing with the uncertainty. In this paper, the fuzzy multi-criteria decision-making model based on the fuzzy weighted average is described for the personnel selection of academic staff.
Czech name
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Czech description
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Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
International days of science 2020 Economics, Management, Innovation
ISBN
978-80-7455-084-3
ISSN
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e-ISSN
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Number of pages
8
Pages from-to
4-11
Publisher name
Moravská Vysoká škola Olomouc
Place of publication
Olomouc
Event location
Olomouc
Event date
Apr 23, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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