An Improved Forecasting Model of Fuzzy Time Series

被引：12

作者：

Wang Hongxu ^{[1
]}

Guo Jianchun ^{[1
]}

Feng Hao ^{[2
]}

Jin Hailong ^{[1
]}

机构：

[1] Qiongzhou Univ, Tourism Management Coll, Sanya, Peoples R China

[2] Qiongzhou Univ, Sci & Technol Coll, Sanya, Peoples R China

来源：

ADVANCES IN MECHATRONICS AND CONTROL ENGINEERING III | 2014年 / 678卷

关键词：

fuzzy time series; forecasting model; enrollment change difference; the difference between enrollment changes; ENROLLMENTS;

D O I：

10.4028/www.scientific.net/AMM.678.64

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Since Song and Chissom proposed fuzzy time series forecasting theory, already exceed in the 20 years. Scholars have proposed many fuzzy time series forecasting models, the prediction accuracy of historical simulation data continues to improve. Unfortunately has not hitherto given for fuzzy time series forecasting model about the data of unknown years. This paper presents an improved forecasting model of fuzzy time series. It may predict the historical simulation data, but also may predict the unknown year data.

引用

页码：64 / +

页数：2

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