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论文类型：期刊论文

发表时间：2012-06-01

发表刊物：FUZZY OPTIMIZATION AND DECISION MAKING

收录刊物：SCIE、EI

卷号：11

期号：2

页面范围：147-176

ISSN号：1568-4539

关键字：Fuzzy analytic hierarchy process; Qualitative and qualitative criteria; Technique for order preference by similarity to ideal solution; Axiomatic fuzzy set; Supplier selection

摘要：The current paper presents a comprehensive methodology for supplier selection. In the first stage, the linguistic values expressed as trapezoidal fuzzy numbers are used to assess the weights of the criteria. The Axiomatic Fuzzy Set clustering (AFS) method, which handles ambiguity and fuzziness in the supplier selection problem effectively, is applied to cluster the suppliers and evaluate each potential supplier that aims at obtaining initial supplier ranking. In the second stage, the Fuzzy Analytic Hierarchy Process (FAHP) model is constructed to determine the weight of various quantitative and qualitative criteria. To address multiple decision criteria in supplier ranking, the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is employed to select the final suppliers. A numerical example composed of 30 suppliers and 6 criteria is studied, and the experimental results show that the proposed evaluation framework is suitable for supplier selection decisions even with the dependent criteria/attributes.