Virtual enterprise partner selection integrating LINMAP and TOPSIS

Jiu-Ying Dong and Shu-Ping Wan
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Jiu-Ying Dong: School of Statistics, Jiangxi University of Finance and Economics
Shu-Ping Wan: College of Information Technology, Jiangxi University of Finance and Economics

Journal of the Operational Research Society, 2016, vol. 67, issue 10, 1288-1308

Abstract: Abstract Virtual enterprise (VE) has become an ever-increasing trend in today’s highly competitive markets. A more scientific decision-making process for selecting partner is very important during the formation phase of VE. Partner selection is formulated as a type of fuzzy hybrid multi-criteria group decision-making problems with fuzzy truth degrees of alternatives’ comparisons represented as trapezoidal fuzzy numbers (TrFNs). Integrating Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) and Linear Programming Technique for Multidimensional Analysis of Preference (LINMAP), we use the relative closeness degrees to define fuzzy consistency and inconsistency indices. The decision makers’ weight vector is derived by using the relative entropy. Criteria weights are estimated through constructing a new fuzzy linear programming model with TrFNs, which is solved by the developed fast and efficient method. Collective ranking matrix of alternatives is generated through constructing multi-objective assignment model. Example analysis demonstrates the effectiveness of the proposed method.

Keywords: multi-criteria decision-making; virtual enterprise; partner selection; TOPSIS; LINMAP (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (3)

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DOI: 10.1057/jors.2016.22

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