MULTIPLE CRITERIA DECISION MAKING APPROACH FOR INDUSTRIAL ENGINEER SELECTION USING FUZZY AHP-FUZZY TOPSIS
Year 2018,
Volume: 19 Issue: 1, 58 - 82, 31.03.2018
Derya Deliktaş
,
Özden Üstün
Abstract
In this study, a fuzzy
multiple criteria decision-making approach is proposed to select an industrial
engineer among ten candidates in a manufacturing environment. The industrial
engineer selection problem is a special case of the personal selection problem.
This problem, which has hierarchical structure of criteria and many decision
makers, contains many criteria. The evaluation process of decision makers also
includes ambiguous parameters. The fuzzy AHP is used to determine the weights
for evaluation criteria. The consistencies of pair-wise comparisons matrices
are controlled and a crisp overall performance value is obtained for each
candidate based on the Best Non-fuzzy Performance Value. The sensitivity of the
candidates’ overall performance values is analyzed by taking into account both
the weight of decision makers and the weights of basis criteria. The candidates
are also evaluated by fuzzy TOPSIS method and the result obtained by fuzzy AHP
is compared with the result achieved by fuzzy TOPSIS.
References
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A. Golec, E. Kahya. A fuzzy model for competency-based employee evaluation and selection. Computers & Industrial Engineering 2007; 52(1): 143-161.
Year 2018,
Volume: 19 Issue: 1, 58 - 82, 31.03.2018
Derya Deliktaş
,
Özden Üstün
References
-
M. Dağdeviren. Bulanik analitik hiyerarşi prosesi ile personel seçimi ve bir uygulama. Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi 2007; 22(4).
-
E. E. Karsak. A fuzzy multiple objective programming approach for personnel selection.Systems, Man, and Cybernetics, 2000 IEEE International Conference on Year; 2007-2012.
-
Ö. Bali, C. Gencer. AHP, Bulanık AHP Ve Bulanık Mantık’la Kara Harp Okuluna Öğretim Elemanı Seçimi. 2005; 4(1): 24-43.
-
A. Golec, E. Kahya. A fuzzy model for competency-based employee evaluation and selection. Computers & Industrial Engineering 2007; 52(1): 143-161.