Water Waste Monitoring Using Neutrosophic Multivariate T2 Control Chart
Author:
Publisher
Springer Science and Business Media LLC
Subject
Pollution,Water Science and Technology,Ecological Modeling,Environmental Chemistry,Environmental Engineering
Link
https://link.springer.com/content/pdf/10.1007/s11270-023-06768-w.pdf
Reference26 articles.
1. Aslam, M., & Arif, O. H. (2020). Multivariate analysis under indeterminacy: An application to chemical content data. Journal of Analytical Methods in Chemistry, 2020. Article ID 1406028:6. https://doi.org/10.1155/2020/1406028
2. Bhattacharjee, S., Alattas, K. A., El-Sousy, F. F., Mohammadzadeh, A., Asad, J. H., Mobayen, S., & Alshaikh, N. (2022). A type-2 fuzzy logic approach for forecasting of effluent quality parameters of wastewater treatment. Mathematical Problems in Engineering, 2022(3), 1–10. https://doi.org/10.1155/2022/1965157
3. Chen, J., Ye, J., & Du, S. (2017a). Scale effect and anisotropy analyzed for neutrosophic numbers of rock joint roughness coefficient based on neutrosophic statistics. Symmetry, 9(10), 208.
4. Chen, J., Ye, J., Du, S., & Yong, R. (2017b). Expressions of rock joint roughness coefficient using neutrosophic interval statistical numbers. Symmetry, 9(7), 123.
5. García-Bustos, S., León, J., & Pastuizaca, M. N. (2020). Hotelling T2 chart using the generalized multiple dependent state sampling scheme. International Journal of Quality & Reliability Management, 38(6), 1265–1277.
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