TY  - JOUR
T1  - Hamming and Hausdorff Distance Measures for Staff Selection Problem: A Comparison
AU - Saad, R. Md AU - Ahmad, M.Z. AU - Jusoh, M.S. AU - Abu, M.S. 
JO  - International Business Management
VL  - 7
IS  - 3
SP  - 165
EP  - 171
PY  - 2013
DA  - 2001/08/19
SN  - 1993-5250
DO  - ibm.2013.165.171
UR  - https://makhillpublications.co/view-article.php?doi=ibm.2013.165.171
KW  - Fuzzy set theory
KW  -staff selection problem
KW  -Hamming distance
KW  -Hausdorff distance
KW  -Malaysia
AB  - 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 that popularly used to compare the set of candidates with the ideal candidate. In this study, reseachers employ fuzzy set theory along with the Hamming and Hausdorff 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.
ER  -