A Hybrid Model of Fuzzy time Series for Forecasting

被引：0

作者：

Wang Jue ^{[1
]}

Qiao JianZhong ^{[1
]}

机构：

[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang, Peoples R China

来源：

MATERIALS SCIENCE AND INFORMATION TECHNOLOGY, PTS 1-8 | 2012年 / 433-440卷

关键词：

weighted models; heuristic model; fuzzy time series; forecasting;

D O I：

10.4028/www.scientific.net/AMR.433-440.2694

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

This study proposes a hybrid model for forecasting. The hybrid model is built on heuristic and weighted models of fuzzy time series. Compared to heuristic model, the hybrid model considers not only heuristic factors but also weighted factors. Hybrid model counts in more factors for dealing with forecasting problems to get a higher forecasting accuracy rate. The enrollment of University of Alabama is chosen as the forecasting targets. The empirical analyses show that the hybrid models provide better overall forecasting results than the previous models.

引用

页码：2694 / 2698

页数：5

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