Human resources management at universities - a fuzzy classification approach

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>

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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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)

Rok uplatnění

2016

Kód důvěrnosti údajů

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

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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