A New Forecasting Model of Fuzzy Time Series

被引：14

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, Coll Sci & Technol, Sanya, Peoples R China

来源：

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

关键词：

fuzzy; time series; forecasting; data of the unknown years; inverse fuzzy number; ENROLLMENTS;

D O I：

10.4028/www.scientific.net/AMM.678.59

中图分类号：

TH [机械、仪表工业];

学科分类号：

0802 ;

摘要：

Classical time series model can efficiently handle many forecasting problems, but these models can not solves the forecasting problem in which values of the time series are represented by language values or fuzzy sets. Song and Chissom and many other scholars put forward many models, and these models can only forecast research about historical data. This paper presents a new fuzzy time series forecasting model which can predict the data of unknown years.

引用

页码：59 / +

页数：2

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