A New Method to Predict Enrollments Based on Fuzzy Time Series

被引：0
|
作者：
Zhao, Liang [1 ]
机构：
[1] Henan Univ Technol, Inst Elect Engn, Zhengzhou 450000, Peoples R China
来源：
2010 8TH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION (WCICA) | 2010年
关键词：
high-order heuristic function; high-order fuzzy logical relationships; nature-ratio partition; enrollments forecasting; TEMPERATURE PREDICTION; LOGICAL RELATIONSHIPS;
D O I：
10.1109/WCICA.2010.5553945
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 this paper, we propose a new method for enrollments prediction, based on fuzzy time series. The new method constructs high-order fuzzy logical relationships with high-order heuristic function based on the historical data and uses nature-ratio techniques to partition the length of each interval in the universe of discourse for enrollments forecasting to increase the prediction accuracy rate. The proposed method gets a higher forecasting accuracy rate than some existing methods.
引用
收藏
页码：3201 / 3206
页数：6
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