A Modified Method of Forecasting Enrollments Based on Fuzzy Time Series

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/).

Download article (PDF)

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  -