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- W1978175093 abstract "An assessment method for water shortage risk based on neural network classificatory of fuzzy sets is presented in paper. Risk rate, weakness, possibility of recovery, period for reoccurrence and risk level are defined as the indexes for water shortage risk assessment of regional resources. The suggested model is used to evaluate water shortage risk of Zhanghe irrigation region in Hubei Province in 1995, 2000, 2005, 2010 and 2020. The evaluation results are in line with the situation about the level of water exploitation and utilization. The model expresses people's knowledge and experience with fuzzy concepts and utilizes the strong learning ability of neural network. It is more operative and practical that this model is applied to evaluate water shortage risk." @default.
- W1978175093 created "2016-06-24" @default.
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- W1978175093 date "2010-08-01" @default.
- W1978175093 modified "2023-10-03" @default.
- W1978175093 title "Assessment model for water shortage based on neural network classificatory of fuzzy sets" @default.
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- W1978175093 doi "https://doi.org/10.1109/fskd.2010.5569195" @default.
- W1978175093 hasPublicationYear "2010" @default.
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