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- W3211117582 endingPage "5476" @default.
- W3211117582 startingPage "5476" @default.
- W3211117582 abstract "The forecast for rainfall and temperatures in underdevelope countries can help in the definition of public and private investment strategies in preventive and corrective nature. Water is an essential element for the economy and living things. This study had a main objective to use an intelligent hybrid model capable of extracting fuzzy rules from a historical series of temperatures and rainfall indices of the state of Minas Gerais in Brazil, more specifically in the capital. Because this is state has several rivers fundamental to the Brazilian economy, this study intended to find knowledge in the data of the problem to help public managers and private investors to act dynamically in the prediction of future temperatures and how they can interfere in the decisions related to the population of the state. The results confirm that the intelligent hybrid model can act with efficiency in the generation of predictions about the temperatures and average rainfall indices, being an efficient tool to predict the water situation in the future of this critical state for Brazil." @default.
- W3211117582 created "2021-11-08" @default.
- W3211117582 creator A5059754715 @default.
- W3211117582 creator A5074677650 @default.
- W3211117582 creator A5087408329 @default.
- W3211117582 date "2019-12-13" @default.
- W3211117582 modified "2023-09-25" @default.
- W3211117582 title "Fuzzy Rules to Help Predict Rains and Temperatures in a Brazilian Capital State Based on Data Collected from Satellites" @default.
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- W3211117582 doi "https://doi.org/10.3390/app9245476" @default.
- W3211117582 hasPublicationYear "2019" @default.
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