An application of fuzzy TOPSIS method for supplier selection

Mehmet Sevkli, Selim Zaim, Ali Turkyilmaz, Metin Satir

Research output: Chapter in Book/Report/Conference proceedingConference contribution

12 Citations (Scopus)

Abstract

Supplier selection is vital to the success of a manufacturing firm. Supplier selection is a multi criteria decision making (MCDM) problem and has a strategic importance for most companies. As the conventional methods for supplier selection are inadequate for dealing with the imprecise or vague nature of linguistic assessment, a new method called fuzzy technique for order preference by similarity to ideal solution (TOPSIS) is proposed. The aim of this study is to compare and contrast crisp and fuzzy TOPSIS methods for the supplier selection. The proposed methods are applied to a manufacturing company in Turkey. After determining the criteria that affect the supplier selection decisions, the results for both crisp and fuzzy TOPSIS methods are presented.

Original languageEnglish
Title of host publication2010 IEEE World Congress on Computational Intelligence, WCCI 2010
DOIs
Publication statusPublished - Nov 25 2010
Event2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010 - Barcelona, Spain
Duration: Jul 18 2010Jul 23 2010

Publication series

Name2010 IEEE World Congress on Computational Intelligence, WCCI 2010

Other

Other2010 6th IEEE World Congress on Computational Intelligence, WCCI 2010
CountrySpain
CityBarcelona
Period7/18/107/23/10

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computational Theory and Mathematics

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    Sevkli, M., Zaim, S., Turkyilmaz, A., & Satir, M. (2010). An application of fuzzy TOPSIS method for supplier selection. In 2010 IEEE World Congress on Computational Intelligence, WCCI 2010 [5584006] (2010 IEEE World Congress on Computational Intelligence, WCCI 2010). https://doi.org/10.1109/FUZZY.2010.5584006