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Human resources management at universities - a fuzzy classification approach

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Human resources management at universities - a fuzzy classification approach

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    BB - Applied statistics, operational research

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GA14-02424S" target="_blank" >GA14-02424S: Methods of operations research for decision support under uncertainty</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    International Journal of Mathematics in Operational Research

  • ISSN

    1757-5850

  • e-ISSN

  • Volume of the periodical

    9

  • Issue of the periodical within the volume

    4

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    18

  • Pages from-to

    502-519

  • UT code for WoS article

  • EID of the result in the Scopus database