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Information Journal Paper

Title

A HYBRID FUZZY PRIORITIZATION - PROMETHEE MODEL FOR SUPPLIER SELECTION

Pages

  467-486

Abstract

 Evaluation and selection of suppliers is one of the important pillars in SUPPLY CHAIN management. Thanks to the fuzzy sets theory, researchers try to provide several methods to deal with uncertainty which is constituted by vague situations in SUPPLIER SELECTION problem. However, one of the biggest shortcomings in these methods is complexity in fuzzy weighting calculation. To avoid this problem in the traditional fuzzy weighting methods, this paper is used a fuzzy ranking method. This method does not require defuzzifing of fuzzy numbers and standardizing of weighted vector. Instead, this method can provide best weigted vector using a fuzzy optimization model without relying on experts’ paired comparisons. The combination of this method and PROMETHEE ranking method provides an effective model for solving the SUPPLIER SELECTION problem.Application of this model in Iran AUTO INDUSTRY has shown its effectiveness.

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  • Cite

    APA: Copy

    KARAMI, EBRAHIM, & FOUKERDI, RAHIM. (2016). A HYBRID FUZZY PRIORITIZATION - PROMETHEE MODEL FOR SUPPLIER SELECTION. JOURNAL OF INDUSTRIAL MANAGEMENT, 8(3 ), 467-486. SID. https://sid.ir/paper/140074/en

    Vancouver: Copy

    KARAMI EBRAHIM, FOUKERDI RAHIM. A HYBRID FUZZY PRIORITIZATION - PROMETHEE MODEL FOR SUPPLIER SELECTION. JOURNAL OF INDUSTRIAL MANAGEMENT[Internet]. 2016;8(3 ):467-486. Available from: https://sid.ir/paper/140074/en

    IEEE: Copy

    EBRAHIM KARAMI, and RAHIM FOUKERDI, “A HYBRID FUZZY PRIORITIZATION - PROMETHEE MODEL FOR SUPPLIER SELECTION,” JOURNAL OF INDUSTRIAL MANAGEMENT, vol. 8, no. 3 , pp. 467–486, 2016, [Online]. Available: https://sid.ir/paper/140074/en

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