Five Most Used Machine Learning Techniques in Hydroinformatics
Hydroinformatics is the engineering of how AI,ML and data science can be utilized in water resources.
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“Multi-attribute utility theory (MAUT) combines a class of psychological measurement models and scaling procedures which can be applied to the evaluation of alternatives which have multiple values relevant attributes.” Von Winterfeldt and Fischer (1975) . Some example applications of MAUT in Water Resource Management? Feeny, David, William Furlong, George W. Torrance, Charles H. Goldsmith, Zenglong Zhu, Sonja DePauw, Margaret Denton, and Michael Boyle. "Multiattribute and single-attribute utility functions for the health utilities index mark 3 system." Medical care 40, no. 2 (2002): 113-128. Zheng, Yong, and David Xuejun Wang. "Hybrid Multi-Criteria Preference Ranking by Subsorting." arXiv preprint arXiv:2306.11233 (2023). @data_hydrology , @Merchandise or @ @products_sustainability Add to Listy /