Human resources management at universities - a fuzzy classification approach
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15310%2F16%3A33159918" target="_blank" >RIV/61989592:15310/16:33159918 - isvavai.cz</a>
Výsledek na webu
<a href="http://dx.doi.org/10.1504/IJMOR.2016.10000338" target="_blank" >http://dx.doi.org/10.1504/IJMOR.2016.10000338</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1504/IJMOR.2016.10000338" target="_blank" >10.1504/IJMOR.2016.10000338</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Human resources management at universities - a fuzzy classification approach
Popis výsledku v původním jazyce
Managing human resources at universities presents a wide range of problems. Academic staff members should be often classified into various categories either according to their type or performance. In this paper, we present three of these classification models using a fuzzy approach. The classification systems will be described verbally by means of linguistic variables and fuzzy rules. The models are, therefore, easy to comprehend even to a non-mathematician. The paper also divides fuzzy classification problems according to their nature in general. For each presented type, recommendations are given in order to solve it reasonably. It will be shown that each of the models presented in the paper corresponds to one of these types. One of the models is currently being used at six universities for the academic staff performance evaluation in the Czech Republic and the applications of the other two models are planned in the future.
Název v anglickém jazyce
Human resources management at universities - a fuzzy classification approach
Popis výsledku anglicky
Managing human resources at universities presents a wide range of problems. Academic staff members should be often classified into various categories either according to their type or performance. In this paper, we present three of these classification models using a fuzzy approach. The classification systems will be described verbally by means of linguistic variables and fuzzy rules. The models are, therefore, easy to comprehend even to a non-mathematician. The paper also divides fuzzy classification problems according to their nature in general. For each presented type, recommendations are given in order to solve it reasonably. It will be shown that each of the models presented in the paper corresponds to one of these types. One of the models is currently being used at six universities for the academic staff performance evaluation in the Czech Republic and the applications of the other two models are planned in the future.
Klasifikace
Druh
J<sub>x</sub> - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
CEP obor
BB - Aplikovaná statistika, operační výzkum
OECD FORD obor
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Návaznosti výsledku
Projekt
<a href="/cs/project/GA14-02424S" target="_blank" >GA14-02424S: Metody operačního výzkumu pro podporu rozhodování v podmínkách neurčitosti</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2016
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název periodika
International Journal of Mathematics in Operational Research
ISSN
1757-5850
e-ISSN
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Svazek periodika
9
Číslo periodika v rámci svazku
4
Stát vydavatele periodika
GB - Spojené království Velké Británie a Severního Irska
Počet stran výsledku
18
Strana od-do
502-519
Kód UT WoS článku
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EID výsledku v databázi Scopus
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