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Hamming and hausdorff distance measures for staff selection problem: A comparison

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Main Authors: R., Md. Saad, Muhammad Zaini, Ahmad, Dr., Muhammad Shahar, Jusoh, Dr., Mohd Syafarudy, Abu
Other Authors: mzaini@unimap.edu.my
Format: Article
Language:English
Published: Medwell Journals 2014
Subjects:
Fuzzy set theory
Hamming distance
Hausdorff distance
Malaysia
Staff selection problem
Online Access:http://dspace.unimap.edu.my:80/dspace/handle/123456789/35162
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spelling my.unimap-351622014-06-07T01:44:30Z Hamming and hausdorff distance measures for staff selection problem: A comparison R., Md. Saad Muhammad Zaini, Ahmad, Dr. Muhammad Shahar, Jusoh, Dr. Mohd Syafarudy, Abu mzaini@unimap.edu.my shahar@unimap.edu.my syafarudy@unimap.edu.my Fuzzy set theory Hamming distance Hausdorff distance Malaysia Staff selection problem Link to publisher's homepage at http://www.medwelljournals.com/ 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. 2014-06-07T01:44:30Z 2014-06-07T01:44:30Z 2013 Article International Business Management, vol. 7(3), 2013, pages 165-171 1993-5250 http://www.medwelljournals.com/abstract/?doi=ibm.2013.165.171 http://dspace.unimap.edu.my:80/dspace/handle/123456789/35162 en Medwell Journals
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Fuzzy set theory
Hamming distance
Hausdorff distance
Malaysia
Staff selection problem
spellingShingle Fuzzy set theory
Hamming distance
Hausdorff distance
Malaysia
Staff selection problem
R., Md. Saad
Muhammad Zaini, Ahmad, Dr.
Muhammad Shahar, Jusoh, Dr.
Mohd Syafarudy, Abu
Hamming and hausdorff distance measures for staff selection problem: A comparison
description Link to publisher's homepage at http://www.medwelljournals.com/
author2 mzaini@unimap.edu.my
author_facet mzaini@unimap.edu.my
R., Md. Saad
Muhammad Zaini, Ahmad, Dr.
Muhammad Shahar, Jusoh, Dr.
Mohd Syafarudy, Abu
format Article
author R., Md. Saad
Muhammad Zaini, Ahmad, Dr.
Muhammad Shahar, Jusoh, Dr.
Mohd Syafarudy, Abu
author_sort R., Md. Saad
title Hamming and hausdorff distance measures for staff selection problem: A comparison
title_short Hamming and hausdorff distance measures for staff selection problem: A comparison
title_full Hamming and hausdorff distance measures for staff selection problem: A comparison
title_fullStr Hamming and hausdorff distance measures for staff selection problem: A comparison
title_full_unstemmed Hamming and hausdorff distance measures for staff selection problem: A comparison
title_sort hamming and hausdorff distance measures for staff selection problem: a comparison
publisher Medwell Journals
publishDate 2014
url http://dspace.unimap.edu.my:80/dspace/handle/123456789/35162
_version_ 1643797739997233152
score 13.222552

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