A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm
作者：
Highlights：
• A novel hesitant fuzzy wind speed forecasting system is proposed for the first time.
• Multi-fuzzification methods are proposed to deal with the non-determinism problem.
• The weights of intervals are determined by multi-objective optimization algorithm.
• A new defuzzification model is developed to obtain accurate and reliable forecasts.
• The proposed system outperforms comparison models with high accuracy and efficiency.
摘要
•A novel hesitant fuzzy wind speed forecasting system is proposed for the first time.•Multi-fuzzification methods are proposed to deal with the non-determinism problem.•The weights of intervals are determined by multi-objective optimization algorithm.•A new defuzzification model is developed to obtain accurate and reliable forecasts.•The proposed system outperforms comparison models with high accuracy and efficiency.
论文关键词：Fuzzy time series forecasting,Hesitant fuzzy sets,Multifuzzification methods,Multiobjective optimization algorithm,Artificial intelligence
论文评审过程：Received 9 July 2020, Revised 21 October 2020, Accepted 22 November 2020, Available online 1 December 2020, Version of Record 13 January 2021.
论文官网地址：https://doi.org/10.1016/j.eswa.2020.114364
