Intuitionistic fuzzy-based entropy weight method–TOPSIS for multi-attribute group decision-making in drilling fluid waste treatment technology selection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine
Link
https://link.springer.com/content/pdf/10.1007/s10661-023-11724-6.pdf
Reference66 articles.
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2. Agarry, S. E., & Ogunleye, O. O. (2012). Factorial designs application to study enhanced bioremediation of soil artificially contaminated with weathered Bonny Light crude oil through biostimulation and bioaugmentation strategy. Journal of Environmental Protection, 03(08), 748–759. https://doi.org/10.4236/jep.2012.38089
3. Al Zarkani, H. M., Mezher, T., & El-Fadel, M. (2023). Life cycle assessment in the petroleum industry: A systematic framework towards improved environmental performance. Journal of Cleaner Production, 137196. https://doi.org/10.1016/j.jclepro.2023.137196
4. Alves, G. M., & Petri, I. (2021). Microwave remediation of oil-contaminated drill cuttings-A review. Journal of Petroleum Science and Engineering, 207. https://doi.org/10.1016/j.petrol.2021.109137
5. An, D., Xi, B., Ren, J., Ren, X., Zhang, W., Wang, Y., & Dong, L. (2018). Multi-criteria sustainability assessment of urban sludge treatment technologies: Method and case study. Resources, Conservation and Recycling, 128, 546–554. https://doi.org/10.1016/j.resconrec.2016.08.018
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