Applying consistent fuzzy preference relations to partnership selection

Tien-Chin Wang and Yueh-Hsiang Chen

Omega, 2007, vol. 35, issue 4, 384-388

Abstract: Partnership selection has been important to the formation of a virtual enterprise. Based on the fuzzy preference programming (FPP) method proposed by Mikhailov [Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega 2002;30:393-401], this investigation presents a consistent fuzzy preference relations method to select partners. Human thoughts are full of uncertainty, so the decision-makers cannot make exact pairwise comparisons. The FPP method solves this problem using an interval value instead of Saaty's 1-9 scale. In this study, the FPP method is reviewed, and then the consistent fuzzy preference relations method is elucidated. Finally, the presented method is applied to the example addressed by Mikhailov [Fuzzy analytical approach to partnership selection in formation of virtual enterprises. Omega 2002;30:393-401]. This study reveals that the proposed method yields consistent decision rankings from only n-1 pairwise comparisons--the same number as in Mikhailov's research. Briefly, the presented consistent fuzzy preference relations method is an easy and practical way to provide rankings of partnership in making decision.

Keywords: AHP; FPP; Consistency; Consistent; fuzzy; preference; relations (search for similar items in EconPapers)
Date: 2007
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Citations: View citations in EconPapers (25)

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