Fuzzy multi-criteria selection of non-ferrous scrap metal suppliers

Chung-Hsing Yeh, Yu-Liang Kuo

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Abstract

Selecting non-ferrous scrap metal suppliers involves evaluating each supplier and its available scrap metals in terms of quantitative and qualitative criteria in each selection round. This paper presents a new approach for developing and selecting fuzzy multi-criteria decision making (MCDM) methods to address the non-ferrous scrap metal supplier selection problem with fuzzy data. The approach develops different fuzzy MCDM methods by combining three normalization processes and three aggregation processes commonly used in MCDM research. In particular, a specific defuzzification process is used to reflect the decision maker's risk attitude about the current global commodity market. A validation procedure using fuzzy c-means clustering is applied to select among inconsistent ranking results produced by different fuzzy MCDM methods. An empirical study on a non-ferrous scrap metal company in China is conducted to illustrate how fuzzy MCDM methods are developed and selected.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Systems, Man, and Cybernetics
EditorsKazuo Kiguchi, Vladimir Marik, Andreas Nürnberger
Place of PublicationPiscataway NJ USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages841-847
Number of pages7
ISBN (Electronic)9781728185262
ISBN (Print)9781728185279
DOIs
Publication statusPublished - 2020
EventIEEE International Conference on Systems, Man and Cybernetics 2020 - Toronto, Canada
Duration: 11 Oct 202014 Oct 2020
https://ieeexplore.ieee.org/xpl/conhome/9282733/proceeding (Proceedings)
http://smc2020.org/ (Website)

Conference

ConferenceIEEE International Conference on Systems, Man and Cybernetics 2020
Abbreviated titleSMC 2020
CountryCanada
CityToronto
Period11/10/2014/10/20
Internet address

Keywords

  • fuzzy multi-criteria decision making
  • method selection
  • non-ferrous scrap metal
  • supplier selection

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