MACHINE MAINTENANCE MANAGER SELECTION PROCESS WITH FUZZY TOPSIS TECHNIQUE: AN EMPIRICAL APPLICATION

dc.date.accessioned2020-09-21T10:59:18Z
dc.date.available2020-09-21T10:59:18Z
dc.date.issued2013en_US
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractBecause of the fact that today human resources has been accepted as one of the most important source of competitive advantage of an organization, finding the right person for the job has become as a vital human resource management function. In this context, determining the approach to be used in the selection process is prerequisite. As a result of that the decision makers use linguistic variables while evaluating multiple criteria and candidates, human resource selection process based on the qualitative more than quantitative data brings vagueness and fuzziness. This paper presents fuzzy TOPSIS method being used while group decision making in the fuzzy environment and displays the method’s process with an application. For this purpose, as decision makers, three top managers in a business organization that is in the list of “First 500 Big Industrial Organizations of Turkey” evaluated decision criteria and the candidates by using linguistic variables for the positions of machine maintenance manager. These verbal data were transformed into triangular fuzzy numbers for fuzzy TOPSIS method. According to fuzzy TOPSIS, the candidates were ranked from the best to the worst with respect to the calculated closeness coefficients. This study shows that for deciding more accurately and effectively in the human resource selection process, fuzzy TOPSIS model is considerably suitable as an approach of fuzzy multi-criteria decision making.en_US
dc.identifier.endpage221en_US
dc.identifier.issn2148-3043en_US
dc.identifier.issue25en_US
dc.identifier.startpage201en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12395/40366
dc.identifier.volume13en_US
dc.institutionauthorDoğanalp, Burcu
dc.language.isoenen_US
dc.publisherSelçuk Üniversitesi İktisadi ve İdari Bilimler Fakültesien_US
dc.relation.ispartofSelçuk Üniversitesi İktisadi ve İdari Bilimler Fakültesi Sosyal ve Ekonomik Araştırmalar Dergisien_US
dc.relation.publicationcategoryMakale - Ulusal - Editör Denetimli Dergien_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.selcuk20240510_oaigen_US
dc.titleMACHINE MAINTENANCE MANAGER SELECTION PROCESS WITH FUZZY TOPSIS TECHNIQUE: AN EMPIRICAL APPLICATIONen_US
dc.typeArticleen_US

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