Earticle

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

키워드

저자

• Kun Zhang [ College of Computer Engineering Qiongzhou University, Sanya Key Laboratory of Computer Vision Qiongzhou University ]
• Zhuang Li [ College of Computer Engineering Qiongzhou University, Sanya Key Laboratory of Computer Vision Qiongzhou University ]
• Hai-feng Wang [ College of Computer Engineering Qiongzhou University, Sanya Key Laboratory of Computer Vision Qiongzhou University ]
• Hong-xu Wang [ College of Computer Engineering Qiongzhou University, Sanya Key Laboratory of Computer Vision Qiongzhou University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Signal Processing, Image Processing and Pattern Recognition

• 간기

  격월간

• pISSN

  2005-4254

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605