The fuzzy regression functions approach is a fuzzy inference system that is not rule-based
and not based on expert knowledge, unlike classical fuzzy inference systems. The fuzzy …

Crude palm oil (CPO) is one of the commodities in Malaysia that highly contributes to
economic growth. Since CPO prices fluctuate over years, it is significant to accurately …

Fuzzy time series is widely used in forecasting time series data in linguistic forms.
Implementing the intuitionistic fuzzy sets (IFS) in fuzzy time series can better handle …

Forecasting time series data is crucial for predicting upcoming observations, especially in
the market and business. Proper actions can be taken when there are some figures on future …

Fuzzy time series is a well-known forecasting method that can deal with data in linguistic
forms. The fuzzy time series was extended into intuitionistic fuzzy sets (IFS), which can …

Forecasting is one of the valuable tools in making decisions for proper planning. However,
the classical statistical forecasting method cannot cater to data in linguistic variables. The …

Fuzzy time series is widely used in forecasting time series data in linguistic forms.
Implementing the intuitionistic fuzzy sets (IFS) in fuzzy time series can better handle …