Please use this identifier to cite or link to this item: http://dspace.unimap.edu.my:80/xmlui/handle/123456789/34412
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dc.contributor.authorR., Md. Saad-
dc.contributor.authorMuhammad Zaini, Ahmad, Dr.-
dc.contributor.authorMohd Syafarudy, Abu-
dc.contributor.authorMuhammad Shahar, Jusoh, Dr.-
dc.date.accessioned2014-05-12T07:00:08Z-
dc.date.available2014-05-12T07:00:08Z-
dc.date.issued2013-
dc.identifier.citationAIP Conference Proceedings, vol. 1522, 2013, pages 462-469en_US
dc.identifier.isbn978-073541150-0-
dc.identifier.issn0094-243X-
dc.identifier.urihttp://scitation.aip.org/content/aip/proceeding/aipcp/10.1063/1.4801162-
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/34412-
dc.descriptionLink to publisher's homepage at http://publishing.aip.org/en_US
dc.description.abstractWith high level of business competition, it is vital to have flexible staff that are able to adapt themselves with work circumstances. However, staff selection process is not an easy task to be solved, even when it is tackled in a simplified version containing only a single criterion and a homogeneous skill. When multiple criteria and various skills are involved, the problem becomes much more complicated. In adddition, there are some information that could not be measured precisely. This is patently obvious when dealing with opinions, thoughts, feelings, believes, etc. One possible tool to handle this issue is by using fuzzy set theory. Therefore, the objective of this paper is to review the existing fuzzy techniques for solving staff selection process. It classifies several existing research methods and identifies areas where there is a gap and need further research. Finally, this paper concludes by suggesting new ideas for future research based on the gaps identified.en_US
dc.language.isoenen_US
dc.publisherAIP Publishing LLCen_US
dc.subjectFuzzy techniquesen_US
dc.subjectMulti-criteria decision makingen_US
dc.subjectMulti-experts decision makingen_US
dc.subjectStaff selection processen_US
dc.titleSome fuzzy techniques for staff selection process: A surveyen_US
dc.typeArticleen_US
dc.contributor.urlmzaini@unimap.edu.myen_US
dc.contributor.urlsyafarudy@unimap.edu.myen_US
dc.contributor.urlshahar@unimap.edu.myen_US
Appears in Collections:Institute of Engineering Mathematics (Articles)
School of Business Innovation and Technopreneurship (Articles)

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