A New Hybrid Recurrent Intuitionistic Fuzzy Time Series Forecasting Method
Classical time series methods are widely employed to analyze linear time series with a limited number of observations; however, their effectiveness relies on several strict assumptions. In contrast, artificial neural networks are particularly suitable for forecasting problems due to their data-drive...
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| Egile Nagusiak: | , , , |
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| Formatua: | Artigo |
| Hizkuntza: | Inglês |
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MDPI AG
2025-11-01
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| Saila: | Forecasting |
| Gaiak: | |
| Sarrera elektronikoa: | https://www.mdpi.com/2571-9394/7/4/71 |
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