A hybrid algorithm to forecast enrolment based on genetic algorithms and fuzzy time series

المؤلفون المشاركون

al-Wazzan, Hanin Talal
Ibrahim, Qays Ismail
Salim, Abd al-Ghafur Jasim

المصدر

The International Arab Journal of Information Technology

العدد

المجلد 11، العدد 3 (31 مايو/أيار 2014)9ص.

الناشر

جامعة الزرقاء

تاريخ النشر

2014-05-31

دولة النشر

الأردن

عدد الصفحات

9

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

الملخص 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.

نمط استشهاد جمعية علماء النفس الأمريكية (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

نمط استشهاد الجمعية الأمريكية للغات الحديثة (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

نمط استشهاد الجمعية الطبية الأمريكية (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

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-334336