A New Method to Forecast Enrollments

Using Fuzzy Time Series

 


Shyi-Ming Chena and Chia-Ching Hsub

 

a Department of Computer Science and Information Engineering,

National Taiwan University of Science and Technology,

Taipei 106, Taiwan, R. O. C.

 

b Department of Electronic Engineering,

National Taiwan University of Science and Technology,

Taipei 106, Taiwan, R. O. C.

 

 

Abstract: In recent years, many methods have been proposed for forecasting enrollments based on fuzzy time series. However, the forecasting accuracy rates of the existing methods are not good enough. In this paper, we present a new method to forecast enrollments based on fuzzy time series. The proposed method belongs to the first order and time-variant methods. The historical enrollments of the university of Alabama are used to illustrate the forecasting process of the proposed method. The proposed method can get a higher forecasting accuracy rate for forecasting enrollments than the existing methods.

 

Keywords: fuzzy time series; fuzzy sets; fuzzified enrollments; fuzzy logical relationships.

PDF Full-Text (237KB)

 

<< Back

- Top -