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An ARMA type fuzzy time series forecasting method based on particle swarm optimization
(2013)
In the literature, fuzzy time series forecasting models generally include fuzzy lagged variables. Thus, these fuzzy time series models have only autoregressive structure. Using such fuzzy time series models can cause ...
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network
(Springer, 2020)
As it known in many studies, the fuzzy time series methods do not need assumptions such as stationary and the linearity required for classical time series approaches, so there is a huge field of study on fuzzy time series ...
A new deep intuitionistic fuzzy time series forecasting method based on long short‑term memory
(Springer, 2021)
In recent years, deep artificial neural networks can have better forecasting performance than many other artificial neural networks. The long short-term memory (LSTM) is one of the deep artificial neural networks. There ...