원문정보
보안공학연구지원센터(IJSIP)
International Journal of Signal Processing, Image Processing and Pattern Recognition
Vol.8 No.10
2015.10
pp.121-128
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
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
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보