A Novel Algorithm to Forecast Enrollment Based on Fuzzy Time Series

Authors

Haneen T. Jasim, Mosul University
Abdul G. Jasim Salim, Mosul University
Kais I. Ibraheem, Mosul University

Abstract

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.

Recommended Citation

Jasim, Haneen T.; Jasim Salim, Abdul G.; and Ibraheem, Kais I. (2012). A Novel Algorithm to Forecast Enrollment Based on Fuzzy Time Series, Applications and Applied Mathematics: An International Journal (AAM), Vol. 7, Iss. 1, Article 25.
Available at: https://digitalcommons.pvamu.edu/aam/vol7/iss1/25