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...

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Vydáno v:	Engineering applications of artificial intelligence Ročník 129; s. 107531
Hlavní autoři:	Edalatpanah, Seyyed Ahmad, Hassani, Farnaz Sheikh, Smarandache, Florentin, Sorourkhah, Ali, Pamucar, Dragan, Cui, Bing
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 01.03.2024
Témata:	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
On-line přístup:	Získat plný text
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