A Phase-Cum-Time Variant Fuzzy Time Series Model for Forecasting Non-Stationary Time Series and Its Application to the Stock Market

Non-stationary time series plays a prominent role in the analysis of performance time series of many real-world systems. Recently, fuzzy time series models have been extended to forecast non-stationary time series. Over different phases of time, performance time series may show drastic changes. Ther...

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Главные авторы:	A. J. Saleena, C. Jessy John, G. Rubell Marion Lincy
Формат:	Artigo
Язык:	Inglês
Опубликовано:	IEEE 2024-01-01
Серии:	IEEE Access
Предметы:	Fuzzy time series phase-cum-time variant fuzzy time series model non-stationary time series stock market indices
Online-ссылка:	https://ieeexplore.ieee.org/document/10714345/
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