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Hamming Distance Method with Subjective and Objective Weights for Personnel Selection
Joint Authors
Ahmad, M. Z.
Md Saad, R.
Abu, M. S.
Jusoh, M. S.
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-03-17
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
Multicriteria decision making (MCDM) is one of the methods that popularly has been used in solving personnel selection problem.
Alternatives, criteria, and weights are some of the fundamental aspects in MCDM that need to be defined clearly in order to achieve a good result.
Apart from these aspects, fuzzy data has to take into consideration that it may arise from unobtainable and incomplete information.
In this paper, we propose a new approach for personnel selection problem.
The proposed approach is based on Hamming distance method with subjective and objective weights (HDMSOW’s).
In case of vagueness situation, fuzzy set theory is then incorporated onto the HDMSOW’s.
To determine the objective weight for each attribute, the fuzzy Shannon’s entropy is considered.
While for the subjective weight, it is aggregated into a comparable scale.
A numerical example is presented to illustrate the HDMSOW’s.
American Psychological Association (APA)
Md Saad, R.& Ahmad, M. Z.& Abu, M. S.& Jusoh, M. S.. 2014. Hamming Distance Method with Subjective and Objective Weights for Personnel Selection. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051405
Modern Language Association (MLA)
Md Saad, R.…[et al.]. Hamming Distance Method with Subjective and Objective Weights for Personnel Selection. The Scientific World Journal No. 2014 (2014), pp.1-9.
https://search.emarefa.net/detail/BIM-1051405
American Medical Association (AMA)
Md Saad, R.& Ahmad, M. Z.& Abu, M. S.& Jusoh, M. S.. Hamming Distance Method with Subjective and Objective Weights for Personnel Selection. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-9.
https://search.emarefa.net/detail/BIM-1051405
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1051405