An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection
A. Afrasiabi, M. Tavana, D. Di Caprio, Environmental Science and Pollution Research 29 (2022) 37291–37314.
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Journal Article
| Published
| English
Author
Afrasiabi, Ahmadreza;
Tavana, MadjidLibreCat;
Di Caprio, Debora
Publishing Year
Journal Title
Environmental Science and Pollution Research
Volume
29
Issue
25
Page
37291-37314
LibreCat-ID
Cite this
Afrasiabi A, Tavana M, Di Caprio D. An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environmental Science and Pollution Research. 2022;29(25):37291-37314. doi:10.1007/s11356-021-17851-2
Afrasiabi, A., Tavana, M., & Di Caprio, D. (2022). An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection. Environmental Science and Pollution Research, 29(25), 37291–37314. https://doi.org/10.1007/s11356-021-17851-2
@article{Afrasiabi_Tavana_Di Caprio_2022, title={An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection}, volume={29}, DOI={10.1007/s11356-021-17851-2}, number={25}, journal={Environmental Science and Pollution Research}, publisher={Springer Science and Business Media LLC}, author={Afrasiabi, Ahmadreza and Tavana, Madjid and Di Caprio, Debora}, year={2022}, pages={37291–37314} }
Afrasiabi, Ahmadreza, Madjid Tavana, and Debora Di Caprio. “An Extended Hybrid Fuzzy Multi-Criteria Decision Model for Sustainable and Resilient Supplier Selection.” Environmental Science and Pollution Research 29, no. 25 (2022): 37291–314. https://doi.org/10.1007/s11356-021-17851-2.
A. Afrasiabi, M. Tavana, and D. Di Caprio, “An extended hybrid fuzzy multi-criteria decision model for sustainable and resilient supplier selection,” Environmental Science and Pollution Research, vol. 29, no. 25, pp. 37291–37314, 2022, doi: 10.1007/s11356-021-17851-2.
Afrasiabi, Ahmadreza, et al. “An Extended Hybrid Fuzzy Multi-Criteria Decision Model for Sustainable and Resilient Supplier Selection.” Environmental Science and Pollution Research, vol. 29, no. 25, Springer Science and Business Media LLC, 2022, pp. 37291–314, doi:10.1007/s11356-021-17851-2.
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