A Fuzzy Time Series Forecasting Model Based on Yearly Difference of the Student Enrollment Number

DOI

10.2991/scict-14.2014.41How to use a DOI?

Keywords

difference of enrollment number; domain; inverse fuzzy number; fuzzy time series; forecasting model

Abstract

A number of forecasting models have been proposed based on fuzzy time series in the past 20 years, and forecasting accuracy rate continues to increase. This paper establishes a fuzzy time series forecasting model based on yearly difference of the student enrollment number. The method uses the yearly difference of the student enrollment number as domain to establish a fuzzy number, inverse fuzzy number and prediction formula. The forecasting process is illustrated by applying history student enrollment number of the University of Alabama, and forecasting accuracy rate is higher than that of the existing method.

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/).

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TY  - CONF
AU  - Hongxu Wang
AU  - Hui Wang
AU  - Jianchun Guo
AU  - Hao Feng
PY  - 2014/05
DA  - 2014/05
TI  - A Fuzzy Time Series Forecasting Model Based on Yearly Difference of the Student Enrollment Number
BT  - Proceedings of the 2nd International Conference on Soft Computing in Information Communication Technology
PB  - Atlantis Press
SP  - 172
EP  - 175
SN  - 1951-6851
UR  - https://doi.org/10.2991/scict-14.2014.41
DO  - 10.2991/scict-14.2014.41
ID  - Wang2014/05
ER  -