HT Liu, ML Wei - Expert Systems with Applications, 2010 - Elsevier
Several time-variant fuzzy time series models have been developed during the last decade. These models usually focus on forecasting stationary of trend time series, but they are not …
MH Lee - Journal of Mathematics and Statistics, 2011 - scholar.its.ac.id
In the literature, the most studied of fuzzy time series for the purpose of forecasting is the first order fuzzy time series model. In this model, only the first lagged variable is used when …
FM Tseng, GH Tzeng, HC Yu - Technological Forecasting and Social …, 1999 - Elsevier
Based on the seasonal time series ARIMA (p, d, q)(P, D, Q) s model (SARIMA) and fuzzy regression model, we combine the advantages of two methods to propose a procedure of …
S Aladag, CH Aladag, T Mentes… - Hacettepe Journal of …, 2012 - dergipark.org.tr
When fuzzy time series include a seasonal component, conventional fuzzy time series models are not sufficient. For such fuzzy time series, lagged variables which are around the …
FM Tseng, GH Tzeng - Fuzzy Sets and Systems, 2002 - Elsevier
This paper proposes a fuzzy seasonal ARIMA (FSARIMA) forecasting model, which combines the advantages of the seasonal time series ARIMA (SARIMA) model and the fuzzy …
H Guney, MA Bakir, CH Aladag - International Journal of Fuzzy Systems, 2018 - Springer
Fuzzy time series approach has been widely used to analyze real-world time series in recent years since using this approach has some important advantages. Various fuzzy time series …
H Che-Ngoc, L Nguyen-Huynh… - International Journal …, 2022 - World Scientific
Forecasting for time series has always been of interest to statisticians and data scientists because it offers a lot of benefits in reality. This study proposes the fuzzy time series model …
SS Gautam, Abhishekh - Journal of Control, Automation and Electrical …, 2019 - Springer
In this study, we develop a novel moving average forecasting approach based on fuzzy time series data set. The main objective of applying this moving average approach in develop …
HT Liu - Expert Systems with Applications, 2009 - Elsevier
A number of fuzzy time series models have been designed and developed during the last decade. One problem of these models is that they only provide a single-point forecasted …