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Arabian Journal for Science and Engineering
Erschienen in: Arabian Journal for Science and Engineering 2/2021

04.01.2021 | Research Article-Systems Engineering

TODIM Method for Interval-Valued Pythagorean Fuzzy MAGDM Based on Cumulative Prospect Theory and Its Application to Green Supplier Selection

verfasst von: Mengwei Zhao, Guiwu Wei, Cun Wei, Jiang Wu

Erschienen in: Arabian Journal for Science and Engineering | Ausgabe 2/2021

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Abstract

The green supplier selection could be regarded as a classical multiple attribute group decision making (MAGDM) issue. The interval-valued Pythagorean fuzzy set (IVPFSs) can fully describe the uncertain information for the risk assessment of science and technology projects. Furthermore, the classical TODIM method based on the cumulative prospect theory (CPT-TODIM) is built, which is a selectable method in reflecting the decision makers’ psychological behavior. Thus, in this paper, the interval-valued Pythagorean fuzzy CPT-TODIM (IVPF-CPT-TODIM) method is proposed for MAGDM issue. At the same time, it is enhancing rationality to get the weight information of attributes by using the entropy weight method under IVPFSs. And focusing on hot issues in contemporary society, this article applies the discussed method to green supplier selection, and demonstrates risk assessment model of science and technology projects based on the IVPF-CPT-TODIM method. Finally, through comparing the outcome of comparative analysis, we conclude that this improved approach is acceptable.
Vorheriger Artikel Flat-Plate Solar Collector Thermal Performance and Optimal Operation Mode by Exergy Analysis and Numerical Simulation
Nächster Artikel Development of a Fuzzy Exponentially Weighted Moving Average Control Chart with an α-level Cut for Monitoring a Production Process

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Metadaten
Titel
TODIM Method for Interval-Valued Pythagorean Fuzzy MAGDM Based on Cumulative Prospect Theory and Its Application to Green Supplier Selection
verfasst von
Mengwei Zhao
Guiwu Wei
Cun Wei
Jiang Wu
Publikationsdatum
04.01.2021
Verlag
Springer Berlin Heidelberg
Erschienen in
Arabian Journal for Science and Engineering / Ausgabe 2/2021
Print ISSN: 2193-567X
Elektronische ISSN: 2191-4281
DOI
https://doi.org/10.1007/s13369-020-05063-8

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