A new hybrid fuzzy time series model with an application to predict PM10 concentration

Fuzzy time series (FTS) forecasting models show a great performance in predicting time series, such as air pollution time series. However, they have caused major issues by utilizing random partitioning of the universe of discourse and ignoring repeated fuzzy sets. In this study, a novel hybrid forec...

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Auteurs principaux: Yousif Alyousifi, Mahmod Othman, Abdullah Husin, Upaka Rathnayake
Format: article
Langue:EN
Publié: Elsevier 2021
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Accès en ligne:https://doaj.org/article/89cea552632c48a8a3bb90073d4b051c
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