 Using integrated fuzzy DEMATEL and fuzzy C: means algorithm for supplier evaluation and selectionGülşen Aydın Keskin International Journal of Production Research, 2015, vol. 53, issue 12, 3586-3602 Abstract: Decision-making techniques are used to help evaluate the current suppliers’ aim at classifying performance of individual suppliers against desired levels of performance, so as to design suitable plans to increase the performance and capabilities of suppliers. In this study, an integrated model is introduced and proposed for increasing the supplier selection and evaluation quality. The methodology is composed of two steps. The first stage is fuzzy decision-making trial and evaluation laboratory method in which the interactions between the evaluation criteria and the criteria weight have been computed. At the second stage, performances of suppliers are assessed using both the criteria weights obtained at the first stage and fuzzy c-means clustering algorithm by classifying the vendors according to their performances. Obtained results show that the proposed model is very well suited as a decision-making tool for supplier selection decisions. Date: 2015 Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:taf:tprsxx:v:53:y:2015:i:12:p:3586-3602 Ordering information: This journal article can be ordered from DOI: 10.1080/00207543.2014.980461 Access Statistics for this article International Journal of Production Research is currently edited by Professor A. Dolgui More articles in International Journal of Production Research from Taylor & Francis Journals |
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