A hybrid algorithm to forecast enrolment based on genetic algorithms and fuzzy time series
Joint Authors
al-Wazzan, Hanin Talal
Ibrahim, Qays Ismail
Salim, Abd al-Ghafur Jasim
Source
The International Arab Journal of Information Technology
Issue
Vol. 11, Issue 3 (31 May. 2014)9 p.
Publisher
Publication Date
2014-05-31
Country of Publication
Jordan
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Topics
Abstract EN
In this paper, we proposed a hybrid algorithm to forecast enrolment based on fuzzy time series and genetic algorithms, the proposed algorithms presents a good forecasting result with higher accuracy rate.
Historical enrolment of the University of Alabama from year 1948 to 2010 are used in this study to illustrate the forecasting process.
American Psychological Association (APA)
al-Wazzan, Hanin Talal& Ibrahim, Qays Ismail& Salim, Abd al-Ghafur Jasim. 2014. A hybrid algorithm to forecast enrolment based on genetic algorithms and fuzzy time series. The International Arab Journal of Information Technology،Vol. 11, no. 3.
https://search.emarefa.net/detail/BIM-334336
Modern Language Association (MLA)
al-Wazzan, Hanin Talal…[et al.]. A hybrid algorithm to forecast enrolment based on genetic algorithms and fuzzy time series. The International Arab Journal of Information Technology Vol. 11, no. 3 (May. 2014).
https://search.emarefa.net/detail/BIM-334336
American Medical Association (AMA)
al-Wazzan, Hanin Talal& Ibrahim, Qays Ismail& Salim, Abd al-Ghafur Jasim. A hybrid algorithm to forecast enrolment based on genetic algorithms and fuzzy time series. The International Arab Journal of Information Technology. 2014. Vol. 11, no. 3.
https://search.emarefa.net/detail/BIM-334336
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-334336
