A New Method to Forecast Enrollments
Using Fuzzy Time Series
a Department of Computer Science and Information Engineering,
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
Keywords: fuzzy time series; fuzzy sets; fuzzified enrollments; fuzzy logical relationships.