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dc.contributor.authorR., Md. Saad
dc.contributor.authorMuhammad Zaini, Ahmad, Dr.
dc.contributor.authorMuhammad Shahar, Jusoh, Dr.
dc.contributor.authorMohd Syafarudy, Abu
dc.date.accessioned2014-06-07T01:44:30Z
dc.date.available2014-06-07T01:44:30Z
dc.date.issued2013
dc.identifier.citationInternational Business Management, vol. 7(3), 2013, pages 165-171en_US
dc.identifier.issn1993-5250
dc.identifier.urihttp://www.medwelljournals.com/abstract/?doi=ibm.2013.165.171
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/35162
dc.descriptionLink to publisher's homepage at http://www.medwelljournals.com/en_US
dc.description.abstractSelecting the right person to a particular job needs a lot of considerations, especially in a growth company. To solve this problem, many organisations have created an ideal candidate that fulfils all requirements for a particular job. In this case, decision makers will make a comparison between a set of candidates with the ideal candidate. The distance measures are then used to compare whether the candidates are on the par with the ideal candidate. Hamming and Hausdorff distances are the two distance measures thatpopularly used to compare the set of candidates with the ideal candidate. In this study, reseachers employ fuzzy set theory along with the Hamming andHausdorff distances to solve staff selection problem. Based on numerical computations that have been carried out, final results showed that both methods produced almost the same results even at different exigency levels. The results also showed that both distance measures have its own advantageous and can be applied according to suitable condition.en_US
dc.language.isoenen_US
dc.publisherMedwell Journalsen_US
dc.subjectFuzzy set theoryen_US
dc.subjectHamming distanceen_US
dc.subjectHausdorff distanceen_US
dc.subjectMalaysiaen_US
dc.subjectStaff selection problemen_US
dc.titleHamming and hausdorff distance measures for staff selection problem: A comparisonen_US
dc.typeArticleen_US
dc.contributor.urlmzaini@unimap.edu.myen_US
dc.contributor.urlshahar@unimap.edu.myen_US
dc.contributor.urlsyafarudy@unimap.edu.myen_US


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