A Modified Method of Forecasting Enrollments Based on Fuzzy Time Series

被引：0
|
作者：
Feng, Hao [1 ]
Wang, Hongxu [2 ]
Guo, Jianchun [2 ]
Zhang, Fujin [3 ]
机构：
[1] Qiongzhou Univ, Coll Sci & Engn, Sanya, Peoples R China
[2] Qiongzhou Univ, Coll tourism management, Sanya, Peoples R China
[3] Qiongzhou Univ, Coll Elect & Informat Engn, Sanya, Peoples R China
来源：
PROCEEDINGS OF THE 2ND INTERNATIONAL CONFERENCE ON SOFT COMPUTING IN INFORMATION COMMUNICATION TECHNOLOGY | 2014年
关键词：
fuzzy set; fuzzy time series; forecasting; percentage; Inverse fuzzy number;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this essay, we propose a method of forecasting enrollments based on fuzzy time series which is improved by Saxena, Sharma& Easo. Some sections are improved, Such as the setting of universe of discourse, construction of fuzzy set and Inverse fuzzy number, and forecasting formula. We still used the 22 years freshmen's enrollments data of the University of Alabama to illustrate the forecasting process. The result shows that proposed method provide the smallest AFER and MSE.
引用
收藏
页码：176 / 179
页数：4
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