摘要：This research article suggests a computational method for constructing
fuzzy sets in absence of expert knowledge. This method uses concepts of central
tendencies mean and variance. This study gives a solution to the critical issue in
designing of fuzzy systems, number of fuzzy sets. Proposed computational method
helps in finding intervals and thereby fuzzy sets for fuzzy time series forecasting.
Proposed computational method is implemented on the authentic data for the
enrolments of University of Alabama, which is considered as benchmark problem in
the field of fuzzy time series. The forecasted values are compared with the results of
other methods to state its supremacy. Projected computational method along with
Gaussian membership function gave promising results over other methods for fuzzy
time series for the above said benchmark data.
关键词：Fuzzy logic; central tendencies; membership function; prediction; fuzzy;
time series.
