Supplier Selection Based on FAHP-VIKOR-IVIFs

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As the most important part of supply chain management, supplier selection has always received a great deal of attention from practitioners and researchers. However, the nature of supplier selection is a complex multi-criteria decision making (MCDM) problem including many factors which may be in conflict. VIKOR is an efficient method to solve this kind of MCDM problem. But in reality, there usually exists incomplete and uncertain information, and the decision makers cannot easily express their judgments on the alternatives with exact and crisp values. Therefore, a new extended VIKOR method with interval-valued intuitionistic fuzzy sets (IVIF-VIKOR) is proposed in this paper. Then a hybrid MCDM method based on FAHP and the proposed IVIF-VIKOR are used to select supplier under incomplete and uncertain information environment. The feasibility and practicability of FAHP-IVIF-VIKOR method are further manifested through an empirical example.

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2703-2707

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August 2013

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© 2013 Trans Tech Publications Ltd. All Rights Reserved

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[1] B. Chang , H.F. Hung: A study of using RST to create the supplier selection model and decision-making rules, Expert Systems with Applications, 37(2010), pp.8284-8295.

DOI: 10.1016/j.eswa.2010.05.056

Google Scholar

[2] R.J. Kuo, Y.C. Wang, F.C. Tien: Integration of artificial neural network and MADA methods for green supplier selection, Journal of Cleaner Production, 18(2010), pp.1161-1170.

DOI: 10.1016/j.jclepro.2010.03.020

Google Scholar

[3] Sanayei, S. F. Mousavi, A. Yazdankhah: Group decision making process for supplier selection with VIKOR under fuzzy environment, Expert Systems with Applications, 37(2010), pp.24-30.

DOI: 10.1016/j.eswa.2009.04.063

Google Scholar

[4] K. Atanassov: More on intuitionistic fuzzy sets. Fuzzy Sets and Systems, 33 (1989), pp.37-46.

DOI: 10.1016/0165-0114(89)90215-7

Google Scholar

[5] Z.S. Xu: Methods for aggregating interval-valued intuitionistic fuzzy information and their application to decision making, Control and Decision, 22(2007), pp.215-219.

DOI: 10.1007/978-981-15-1521-7_5

Google Scholar

[6] F. Ye: An extended TOPSIS method with interval-valued intuitionistic fuzzy numbers for virtual enterprise partner selection, Expert Systems with Applications, 37(2010), pp.7050-7055.

DOI: 10.1016/j.eswa.2010.03.013

Google Scholar

[7] S. Opricovic: Multicriteria optimization of civil engineering systems(Belgrade: Faculty of Civil Engineering, 1998).

Google Scholar

[8] S. Opricovic , G.H. Tzeng: Compromise solution by MCDM methods: A comparative analysis of VIKOR and TOPSIS, European Journal of Operational Research, 156 (2004), pp.445-455.

DOI: 10.1016/s0377-2217(03)00020-1

Google Scholar

[9] S. Opricovic , G.H. Tzeng: Extended VIKOR method in comparison with outranking methods, European Journal of Operational Research, 178(2007), pp.514-529.

DOI: 10.1016/j.ejor.2006.01.020

Google Scholar

[10] Vahdani, H. Hadipour , J. S. Sadaghiani , M. Amiri: Extension of VIKOR method based on interval-valued fuzzy sets, Int J Adv Manuf Technol , 47(2010), pp.1231-1239.

DOI: 10.1007/s00170-009-2241-2

Google Scholar

[11] D.Y. Chang: Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95 (1996), pp.649-655.

DOI: 10.1016/0377-2217(95)00300-2

Google Scholar