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DC Field | Value | Language |
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dc.contributor.author | R., Md. Saad | - |
dc.contributor.author | Muhammad Zaini, Ahmad, Dr. | - |
dc.contributor.author | Muhammad Shahar, Jusoh, Dr. | - |
dc.contributor.author | Mohd Syafarudy, Abu | - |
dc.date.accessioned | 2014-06-07T01:44:30Z | - |
dc.date.available | 2014-06-07T01:44:30Z | - |
dc.date.issued | 2013 | - |
dc.identifier.citation | International Business Management, vol. 7(3), 2013, pages 165-171 | en_US |
dc.identifier.issn | 1993-5250 | - |
dc.identifier.uri | http://www.medwelljournals.com/abstract/?doi=ibm.2013.165.171 | - |
dc.identifier.uri | http://dspace.unimap.edu.my:80/dspace/handle/123456789/35162 | - |
dc.description | Link to publisher's homepage at http://www.medwelljournals.com/ | en_US |
dc.description.abstract | Selecting 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.iso | en | en_US |
dc.publisher | Medwell Journals | en_US |
dc.subject | Fuzzy set theory | en_US |
dc.subject | Hamming distance | en_US |
dc.subject | Hausdorff distance | en_US |
dc.subject | Malaysia | en_US |
dc.subject | Staff selection problem | en_US |
dc.title | Hamming and hausdorff distance measures for staff selection problem: A comparison | en_US |
dc.type | Article | en_US |
dc.contributor.url | mzaini@unimap.edu.my | en_US |
dc.contributor.url | shahar@unimap.edu.my | en_US |
dc.contributor.url | syafarudy@unimap.edu.my | en_US |
Appears in Collections: | Institute of Engineering Mathematics (Articles) School of Business Innovation and Technopreneurship (Articles) |
Files in This Item:
File | Description | Size | Format | |
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Hamming and hausdorff distance measures for staff selection problem-A comparison.pdf | 6.71 kB | Adobe PDF | View/Open | |
Hamming and hausdorff distance measures for staff selection problem-A comparison..pdf | Access is limited to UniMAP community | 458.48 kB | Adobe PDF | View/Open |
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