Forecasting local region data with fuzzy time series

被引：0
作者：
Tsai, CC [1 ]
Wu, SJ [1 ]
机构：
[1] Natl Tainan Teachers Coll, Dept Math Educ, Tainan 700, Taiwan
来源：
ISIE 2001: IEEE INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS PROCEEDINGS, VOLS I-III | 2001年
关键词：
fuzzy time series; high-order model; forecasts; fuzzy relationship; linguistic value;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
This study investigates the forecasting scheme of local region data. In view of the model of Song and Chissom [4], we find it is robust for large amount data. After implementation for local region data, in this study, we find it is not so accurate as expected. Hence, the proposed scheme is tried. This scheme can make the forecasting more accurate. To illustrate the effect of this proposed scheme, the forecasting enrollments of Tainan, a small city in Taiwan, are carried out. It is found that the root mean square error of the forecasting enrollments can be improved from 443.44 for the Song-Chissom method to 45.69 for the proposed model.
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页码：122 / 133
页数：12
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