An improved grey dynamic trend incidence model with application to factors causing smog weather

作者：

Highlights：

• Trigonometric functions are used to measure the degree of the grey trend incidence.

• Dynamic connections between two data sets can be obtained over each data point.

• The Periodic fluctuation can be overcome by allowing the length of time t to change.

• Two Extended Models utilized to the panel data are presented.

摘要

•Trigonometric functions are used to measure the degree of the grey trend incidence.•Dynamic connections between two data sets can be obtained over each data point.•The Periodic fluctuation can be overcome by allowing the length of time t to change.•Two Extended Models utilized to the panel data are presented.

论文关键词：Grey incidence,Trend relationship,Dynamic analysis,Panel data,Smog weather

论文评审过程：Received 13 October 2016, Revised 7 June 2017, Accepted 8 June 2017, Available online 13 June 2017, Version of Record 21 June 2017.

论文官网地址：https://doi.org/10.1016/j.eswa.2017.06.012