An adaptive Grey-Markov model based on parameters Self-optimization with application to passenger flow volume prediction

作者：

Highlights：

• Contribution degrees of historical behavior on future’s are constructed.

• A novel grey background values are reconstructed by adaptive parameter.

• Adaptive function and noise information are used to upgrade model structure.

• The upgraded model is by trust degrees and score functions of residuals to states.

• Empirical analysis verifies the performance of the proposed model.

摘要

•Contribution degrees of historical behavior on future’s are constructed.•A novel grey background values are reconstructed by adaptive parameter.•Adaptive function and noise information are used to upgrade model structure.•The upgraded model is by trust degrees and score functions of residuals to states.•Empirical analysis verifies the performance of the proposed model.

论文关键词：Adaptive exponential accumulated generating operator,Adaptive grey background value,Adaptive period grey model,Virtual linguistic trust degree,Markov chain

论文评审过程：Received 17 September 2021, Revised 15 April 2022, Accepted 22 April 2022, Available online 30 April 2022, Version of Record 7 May 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.117302