Fuzzy Time Series Prediction Model and Application based on Fuzzy Inverse

다국어 초록 (Multilingual Abstract)

This paper presents a forecast model of fuzzy time series prediction to study the prediction of enrollment. It takes the percentage of enrollment changes as the domain, constructs the inverse fuzzy number and predicts the enrollment of Qiong Zhou University from 2005 to 2013. Compared with the existing models, the mean square error and prediction error of the ameliorated model are smaller and the precision is higher. The authors get the better method to solve the prediction problem based on the inverse fuzzy prediction model.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Basic Concepts
• 3. New Fuzzy Time Series Forecasting Model
• 4. The Prediction of QiongZhou University History Enrollment
• 4.1 Giving the Real Historical Data
• 4.2 Collating the Historical Data
• 4.3 Constructing the Discrete Domain
• 4.4 Establishing Fuzzy Inverse Formula and the Prediction Formula
• 4.5 Establishing the Prediction Formula
• 4.6 Calculating the Predicted Data of Historical Data
• 5. Comparing with the Existing Best Method
• 6. Conclusion
• Acknowledgements
• References