Modified Weighted for Enrollment Forecasting Based on Fuzzy Time Series

Authors

  • Muhammad Hisyam Lee
  • Riswan Efendi
  • Zuhaimy Ismail

DOI:

https://doi.org/10.11113/matematika.v25.n.260

Abstract

The enrollment study is main point for the university planning. Many previous studies have been presented for enrollment forecasting. This paper proposed the adoption the weighted and the difference between actual data toward midpoint interval based on fuzzy time series. By using the enrollment of the University of Alabama and Universiti Teknologi Malaysia (UTM), as data sets for training and testing, the performance of the adoption approach has been shown much improvement in terms of MSE (Mean Square Error) and average error of forecasting measurements. Keywords: Recurrence; chronological order; modified weighted; enrollment; fuzzy time series.

Downloads

Published

01-06-2009

Issue

Volume 25 (June 2009)

Section

Analysis and Algebra

License

Copyright of articles that appear in MATEMATIKA: MJIAM belongs exclusively to Penerbit UTM Press, Universiti Teknologi Malaysia. This copyright covers the rights to reproduce the article, including reprints, electronic reproductions or any other reproductions of similar nature.

How to Cite

Modified Weighted for Enrollment Forecasting Based on Fuzzy Time Series. (2009). MATEMATIKA, 25, 67-78. https://doi.org/10.11113/matematika.v25.n.260