A hybrid time series forecasting method based on neutrosophic logic with applications in financial issues

Rising market demands, economic pressures, and technological advancements have spurred researchers to seek ways to enhance business environments and scientific productivity. Predictive science, crucial in this context, has gained prominence due to the rapid progress in information technology and for...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 129; S. 107531
Hauptverfasser:	Edalatpanah, Seyyed Ahmad, Hassani, Farnaz Sheikh, Smarandache, Florentin, Sorourkhah, Ali, Pamucar, Dragan, Cui, Bing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 01.03.2024
Schlagworte:	Forecasting Fuzzy logic Genetic algorithm Neutrosophic sets Particle swarm optimization Quantum optimization algorithm Time series Fuzzy logic Genetic algorithm Time series Neutrosophic sets Forecasting Particle swarm optimization Quantum optimization algorithm
ISSN:	0952-1976, 1873-6769
Online-Zugang:	Volltext
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!