Applications of axiomatic fuzzy sets theory on fuzzy time series forecasting

摘要

A number of methods have been proposed for forecasting based on fuzzy time series. Most of fuzzy time series are presented for forecasting enrolments. In this paper, we propose an innovate fuzzy time series forecasting model using axiomatic fuzzy set (AFS) theory. The advantages of using AFS theory in this approach are multiple: Fuzzy sets with more than one maximum value are obtained, this affects considerably the forecasting accuracy; values of membership degrees are directly obtained from the data. Compared with existing methods, the experimental study shows that the proposed method can get best forecasting accuracy rate over methods described in the literature.