A hesitant fuzzy wind speed forecasting system with novel defuzzification method and multi-objective optimization algorithm

•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 obta...

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Veröffentlicht in:	Expert systems with applications Jg. 168; S. 114364
Hauptverfasser:	Wang, Jianzhou, Li, Hongmin, Wang, Ying, Lu, Haiyan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Elsevier Ltd 15.04.2021 Elsevier BV
Schlagworte:	Algorithms Artificial intelligence Decomposition Feature extraction Forecasting Fuzzy sets Fuzzy time series forecasting Hesitant fuzzy sets Intervals Mathematical models Model accuracy Multifuzzification methods Multiobjective optimization algorithm Multiple objective analysis Optimization Optimization algorithms Performance evaluation Time series Wind speed Multiobjective optimization algorithm Hesitant fuzzy sets Fuzzy time series forecasting Artificial intelligence Multifuzzification methods
ISSN:	0957-4174, 1873-6793
Online-Zugang:	Volltext
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