An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China
作者：
Highlights：
• Develop a novel hybrid forecasting model for oil imports dependence forecasting.
• Improve fuzzy time series model for the small sample forecasting.
• Consider the forecasting accuracy and stability simultaneously in forecasting.
• Search the optimal interval length and weight coefficient for fuzzy time series.
摘要
•Develop a novel hybrid forecasting model for oil imports dependence forecasting.•Improve fuzzy time series model for the small sample forecasting.•Consider the forecasting accuracy and stability simultaneously in forecasting.•Search the optimal interval length and weight coefficient for fuzzy time series.
论文关键词：Oil imports dependence,Artificial intelligence,Forecasting system,Fuzzy time series,Multi-objective optimization algorithm
论文评审过程：Received 15 June 2020, Revised 5 October 2021, Accepted 25 March 2022, Available online 31 March 2022, Version of Record 13 April 2022.
论文官网地址：https://doi.org/10.1016/j.knosys.2022.108687
