A reduction algorithm of fuzzy time series model based on a kind of new fuzzy sets

摘要

Facing the shortcomings of fuzzy set in fuzzy time series, a new data fuzzification method is presented by a kind of new fuzzy sets based on distance sense. Then, the reduction algorithm of fuzzy rules is given by the characteristic expansion method. Finally, through the forecasting of Alabama university enrollments, the results show that the proposed method is effective.