Association Journal of CSIAM
Supervised by Ministry of Education of PRC
Sponsored by Xi'an Jiaotong University
ISSN 1005-3085  CN 61-1269/O1

Chinese Journal of Engineering Mathematics

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A New Grey Prediction Model with Parameter Function Transformation

CHEN Xinyuan1,2,  CHEN Youjun1   

  1. 1. School of Mathmatics and Information, China West Normal University, Nanchong 637002
    2. Nanchong Senior High School, Nanchong 637001
  • Received:2022-09-13 Accepted:2023-03-20 Published:2025-06-15
  • Contact: Y. Chen. E-mail address: chenzyw@126.com
  • Supported by:
    The Natural Science Foundation of Sichuan Provincial Department of Education (18ZA0469); the Elite Scientific Research Fund Project of West China Normal University (17YC370).

Abstract:

A class of function transformation with reference variables is proposed, and it is proved that the method can reduce the step ratio deviation of the sequence to a certain extent. The sufficient and necessary conditions for reducing the step ratio deviation of the monotonically increasing and monotonically decreasing sequences are given respectively. In order to ensure that the modeling accuracy is still improved after the reduction, the function characteristics of non-expanding relative error in the transformation reduction of function with reference variables are further studied. Finally, the ${\rm GM}(1,1)$ modeling method is used to build the model. The example verifies that this kind of parametric variable function transformation method has the characteristics of reducing without expanding the relative error, and can improve the short-term prediction accuracy.

Key words: function transformation, class ratio deviation, relative error, prediction accuracy

CLC Number: