標題: Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships
作者: Yang, Jiann Liang
Chiu, Huan Neng
Tzeng, Gwo-Hshiung
Yeh, Ruey Huei
科技管理研究所
Institute of Management of Technology
關鍵字: vendor selection;multiple criteria decision making (MCDM);independence;interdependence;non-additive fuzzy integral
公開日期: 1-十一月-2008
摘要: 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. (C) 2008 Published by Elsevier Inc.
URI: http://dx.doi.org/10.1016/j.ins.2008.06.003
http://hdl.handle.net/11536/8208
ISSN: 0020-0255
DOI: 10.1016/j.ins.2008.06.003
期刊: INFORMATION SCIENCES
Volume: 178
Issue: 21
起始頁: 4166
結束頁: 4183
顯示於類別:期刊論文


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