A hybrid fuzzy–ensemble method for time series forecasting

Abstract This study proposes a rule-free hybrid forecasting framework that integrates type-1 fuzzy function modeling with ensemble regression via random forests. The proposed hybrid fuzzy–ensemble model first constructs lagged representations of a univariate time series and applies fuzzy c-means clu...

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主要作者:	Ali Zafer Dalar
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2026-05-01
叢編:	Scientific Reports
主題:	Ensemble learning Fuzzy c-means clustering Random forest regression Rule-free modeling Time series forecasting Type-1 fuzzy functions
在線閱讀:	https://doi.org/10.1038/s41598-026-51585-w
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