Details

Autor(en) / Beteiligte

• Md Saad, R.
• Ahmad, M. Z.
• Abu, M. S.
• Jusoh, M. S.
• Chen, R.-M.
• Wu, H.

Titel

Hamming Distance Method with Subjective and Objective Weights for Personnel Selection

Ist Teil von

• TheScientificWorld, 2014-01, Vol.2014, p.865495-9

Ort / Verlag

United States: Hindawi Publishing Corporation

Erscheinungsjahr

2014

Link zum Volltext

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• 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.