A Modified Method of Forecasting Enrollments Based on Fuzzy Time Series
Authors
Hao Feng, Hongxu Wang, Jianchun Guo, Fujin Zhang
Corresponding Author
Hao Feng
Available Online May 2014.
- DOI
- 10.2991/scict-14.2014.42How to use a DOI?
- Keywords
- fuzzy set;fuzzy time series; forecasting; percentage; Inverse fuzzy number
- Abstract
In this essay, we propose a method of forecasting enrollments based on fuzzy time series which is improved by Saxena, Sharma& Easo. Some sections are improved, Such as the setting of universe of discourse, construction of fuzzy set and Inverse fuzzy number, and forecasting formula. We still used the 22 years freshmen’s enrollments data of the University of Alabama to illustrate the forecasting process. The result shows that proposed method provide the smallest AFER and MSE.
- Copyright
- © 2014, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Hao Feng AU - Hongxu Wang AU - Jianchun Guo AU - Fujin Zhang PY - 2014/05 DA - 2014/05 TI - A Modified Method of Forecasting Enrollments Based on Fuzzy Time Series BT - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology PB - Atlantis Press SP - 176 EP - 179 SN - 1951-6851 UR - https://doi.org/10.2991/scict-14.2014.42 DO - 10.2991/scict-14.2014.42 ID - Feng2014/05 ER -