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

Chung-Hsing Yeh; Yu-Liang Kuo

doi:10.1109/SMC42975.2020.9283322

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

Chung-Hsing Yeh, Yu-Liang Kuo

Department of Data Science & AI

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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 language	English
Title of host publication	2020 IEEE International Conference on Systems, Man, and Cybernetics
Editors	Kazuo Kiguchi, Vladimir Marik, Andreas Nürnberger
Place of Publication	Piscataway NJ USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	841-847
Number of pages	7
ISBN (Electronic)	9781728185262
ISBN (Print)	9781728185279
DOIs	https://doi.org/10.1109/SMC42975.2020.9283322
Publication status	Published - 2020
Event	IEEE International Conference on Systems, Man and Cybernetics 2020 - Toronto, Canada Duration: 11 Oct 2020 → 14 Oct 2020 https://ieeexplore.ieee.org/xpl/conhome/9282733/proceeding (Proceedings) http://smc2020.org/ (Website)

Conference

Conference	IEEE International Conference on Systems, Man and Cybernetics 2020
Abbreviated title	SMC 2020
Country/Territory	Canada
City	Toronto
Period	11/10/20 → 14/10/20
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9282733/proceeding (Proceedings) http://smc2020.org/ (Website)

Keywords

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

Access to Document

10.1109/SMC42975.2020.9283322

Cite this

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title = "Fuzzy multi-criteria selection of non-ferrous scrap metal suppliers",

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.",

keywords = "fuzzy multi-criteria decision making, method selection, non-ferrous scrap metal, supplier selection",

author = "Chung-Hsing Yeh and Yu-Liang Kuo",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Systems, Man and Cybernetics 2020, SMC 2020 ; Conference date: 11-10-2020 Through 14-10-2020",

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Yeh, C-H & Kuo, Y-L 2020, Fuzzy multi-criteria selection of non-ferrous scrap metal suppliers. in K Kiguchi, V Marik & A Nürnberger (eds), 2020 IEEE International Conference on Systems, Man, and Cybernetics. IEEE, Institute of Electrical and Electronics Engineers, Piscataway NJ USA, pp. 841-847, IEEE International Conference on Systems, Man and Cybernetics 2020, Toronto, Ontario, Canada, 11/10/20. https://doi.org/10.1109/SMC42975.2020.9283322

Fuzzy multi-criteria selection of non-ferrous scrap metal suppliers. / Yeh, Chung-Hsing; Kuo, Yu-Liang.
2020 IEEE International Conference on Systems, Man, and Cybernetics. ed. / Kazuo Kiguchi; Vladimir Marik; Andreas Nürnberger. Piscataway NJ USA: IEEE, Institute of Electrical and Electronics Engineers, 2020. p. 841-847.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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N2 - 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.

AB - 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.

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ER -

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

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Conference

Keywords

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