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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 high order fuzzy ARMA time series forecasting method by using neural networks to define fuzzy relations
(Hindawi Publishing Corporation, 2015)
Linear time series methods are researched under 3 topics, namely, AR (autoregressive), MA (moving averages), and ARMA (autoregressive moving averages) models. On the other hand, the univariate fuzzy time series forecasting ...
First-order ARMA type fuzzy time series method based on fuzzy logic relation tables
(2013)
Fuzzy time series approaches have an important deficiency according to classical time series approaches. This deficiency comes from the fact that all of the fuzzy time series models developed in the literature use ...