Yazar "Eğrioğlu, Erol" için listeleme
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An ARMA type fuzzy time series forecasting method based on particle swarm optimization
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 deep intuitionistic fuzzy time series forecasting method based on long short‑term memory
Koçak, Cem; Eğrioğlu, Erol; Baş, Eren (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 ... -
A new explainable robust high-order intuitionistic fuzzy time-series method
Koçak, Cem; Eğrioğlu, Erol; Baş, Eren (Springer, 2021)Fuzzy time series, based on type-1 fuzzy sets, continue to have a wide range of use in the literature. These methods use only membership values to determine the fuzzy relations. However, intuitionistic fuzzy time series ... -
A new fuzzy time series method based on an ARMA-type recurrent Pi-Sigma artificial neural network
Koçak, Cem; Dalar, Ali Zafer; Cağcağ Yolcu, Özge; Baş, Eren; Eğrioğlu, Erol (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 ...
