A Novel Algorithm to Forecast Enrollment Based on Fuzzy Time Series

被引：0

作者：

Jasim, Haneen Talal ^{[1
]}

Salim, Abdul Ghafoor Jasim ^{[1
]}

Ibraheem, Kais Ismail ^{[2
]}

机构：

[1] Univ Mosul, Dept Math, Mosul, Iraq

[2] Univ Mosul, Dept Comp Sci, Mosul, Iraq

来源：

APPLICATIONS AND APPLIED MATHEMATICS-AN INTERNATIONAL JOURNAL | 2012年 / 7卷 / 01期

关键词：

Fuzzy logical groups; fuzzified enrollments; fuzzy time series;

D O I：

暂无

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

In this paper we propose a new method to forecast enrollments based on fuzzy time series. The proposed method belongs to the first order and time-variant methods. Historical enrollments of the University of Alabama from year 1948 to 2009 are used in this study to illustrate the forecasting process. By comparing the proposed method with other methods we will show that the proposed method has a higher accuracy rate for forecasting enrollments than the existing methods.

引用

页码：385 / 397

页数：13

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