Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships

ASIAIR > College of Management > Department of Business Administration > Journal Article > Item 310904400/8752

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Title:	Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships
Authors:	Yang, Jiann Liang;Chiu, Huan Neng;Tzeng, Gwo-Hshiung;Yeh, Ruey Huei
Contributors:	Department of Business Administration
Keywords:	Chlorine compounds;Food additives;Fuzzy sets;Problem solving -Analytical Hierarchy Process;Decision modeling;Evaluation processes;Fuzzy integrals;Fuzzy MCDM;Fuzzy multiple criteria decision making;Fuzzy weights;Independence;Interdependence;Interpretive Structural Modeling;Multiple criteria decision making (MCDM);Non-additive;Non-additive fuzzy integral;Relative weights;Triangular fuzzy numbers;Uncertain data;Vendor selection
Date:	2008
Issue Date:	2010-04-08 10:54:04 (UTC+0)
Publisher:	Asia University
Abstract:	Vendor selection is an evaluation process that is based on many criteria that uses inaccurate or uncertain data. But while the criteria are often numerous and the relationships between higher-level criteria and lower-level sub-criteria are complex, most conventional decision models cannot help us clarify the interrelationships among the sub-criteria. Our proposed integrated fuzzy multiple criteria decision making (MCDM) method addresses this issue within the context of the vendor selection problem. First, we use triangular fuzzy numbers to express the subjective preferences of evaluators. Second, we use interpretive structural modeling (ISM) to map out the relationships among the sub-criteria. Third, we use the fuzzy analytical hierarchy process (AHP) method to compute the relative weights for each criterion, and we use non-additive fuzzy integral to obtain the fuzzy synthetic performance of each common criterion. Fourth, the best vendor is determined according to the overall aggregating score of each vendor using the fuzzy weights with fuzzy synthetic utilities. Fifth, we use an empirical example to show that our proposed method is preferred to the traditional method, especially when the sub-criteria are interdependent. Finally, our results provide valuable suggestions to vendors on how to improve each sub-criterion so that they can bridge the gap between actual and aspired performance values in the future.
Relation:	Information Science 178:4166-4183
Appears in Collections:	[Department of Business Administration] Journal Article

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