Browsing by Author "Yang, Jiann Liang"

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An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method
(2011-03-01)
Yang, Jiann Liang
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Tzeng, Gwo-Hshiung
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科技管理研究所
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Institute of Management of Technology
Traditionally, most importance-assessing methods used to demonstrate the importance among criteria by preference weightings are based on the assumptions of additivity and independence. In fact, people have found that using such an additive model is not always feasible because of the dependence and feedback among the criteria to somewhat different degrees. To solve the issue the analytic network process (ANP) method is proposed by Saaty. The general method is easy and useful for solving the above-mentioned problem. However in ANP procedures, using average method (equal cluster-weighted) to obtain the weighted supermatrix seems to be irrational because there are different degrees of influence among the criteria. Therefore, we intended to propose an integrated multiple criteria decision making (MCDM) techniques which combined with the decision making trial and evaluation laboratory (DEMATEL) and a novel cluster-weighted with ANP method in this paper, in which the DEMATEL method is used to visualize the structure of complicated causal relationships between criteria of a system and obtain the influence level of these criteria. And, then adopt these influence level values as the base of normalization supermatrix for calculating ANP weights to obtain the relative importance. Additionally, an empirical study is illustrated to demonstrate that the proposed method is more suitable and reasonable. By the concept of ideal point, some important conclusions drawn from a practical application can be referred by practitioners. (C) 2010 Elsevier Ltd. All rights reserved.
Vendor selection by integrated fuzzy MCDM techniques with independent and interdependent relationships
(2008-11-01)
Yang, Jiann Liang
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Chiu, Huan Neng
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Tzeng, Gwo-Hshiung
;
Yeh, Ruey Huei
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科技管理研究所
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.