Title of article :
Forecasting TAIEX using improved type 2 fuzzy time series
Author/Authors :
Bajestani، نويسنده , , Narges Shafaei and Zare، نويسنده , , Assef، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2011
Abstract :
This paper presents a new method to forecast TAIEX based on a high-order type 2 fuzzy time series. Extra observations are used to improve forecasting performance. Extra observations are modeled as type 2 fuzzy sets and fourth-order fuzzy time series. Our proposed model outperforms previous studies.
Keywords :
Forecasting , Fuzzy sets , Linguistic modeling , High-order fuzzy time series
Journal title :
Expert Systems with Applications
Journal title :
Expert Systems with Applications
