Application of Reverse Fuzzy Model for Time Series Prediction in Student Enrollment

This work put forward the reverse fuzzy number prediction model for fuzzy time series prediction. It is the improvement model of the model put forward by Chen, Hong and Tseng. This model has made a great improvement in selection of discourse domain, selection of numerical characteristics representative in small interval and structure of predictor formula. Moreover, this model is applied in the simulated prediction of student enrollment from 1997 to 2012 for Guangxi University with historical data.