Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology

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
https://doi.org/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.
Open Access
This is an open access article distributed under the CC BY-NC license.

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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  - https://doi.org/10.2991/scict-14.2014.42
ID  - Feng2014/05
ER  -