A new approach for handling forecasting problems using high-order fuzzy time series

被引：12

作者：

Chen, Shyi-Ming ^{[1
,2
]}

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan

[2] Jinwen Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei, Taiwan

来源：

INTELLIGENT AUTOMATION AND SOFT COMPUTING | 2008年 / 14卷 / 01期

关键词：

fuzzy time series; fuzzy logical relationship; high-order fuzzy time series; second order differences;

D O I：

10.1080/10798587.2008.10642980

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In recent years, some researchers used high-order fuzzy time series to deal with forecasting problems. In this paper, we present a new method for forecasting the enrollments of the University of Alabama based on the high-order fuzzy time series. The proposed method uses the so-called "second order differences" of the enrollments of the previous years to determine the trend of the forecasting. The proposed method gets a higher forecasting accuracy rate than the existing methods.

引用

页码：29 / 43

页数：15

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