Dual Optimization of Weighted Fuzzy Time-Series Forecasting: Particle Swarm Optimization and Lagrange Quadratic Programming

Time series Forecasting is one of crucial techniques that helps with strategic decision-making and mitigating potential risks –One of which is Weighted fuzzy time series (WFTS). Moreover, the interval length of the WFTS plays a crucial role in its modelization and accuracy in predicting future value...

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Главные авторы:	Armando Jacquis Federal Zamelina, Suci Astutik, Rahma Fitriani
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Universitas Muhammadiyah Mataram 2024-07-01
Серии:	JTAM (Jurnal Teori dan Aplikasi Matematika)
Предметы:	forecasting weighted fuzzy time series particle swarm optimization lagrange quadratic.
Online-ссылка:	http://journal.ummat.ac.id/index.php/jtam/article/view/22554
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