Hybrid forecasting model of non-scheduled passenger air transportation

In the article, an ARIMA-Fuzzy-based hybrid model is proposed for forecasting time series of non-scheduled passenger air transportation. As it is known, the ARIMA model is applied to identify linear trends and regularities within time series data as well as for forecasting. The study of scientific r...

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Bibliographic Details
Main Authors: N. B. Aghayev, D. Sh. Nazarli
Format: Article
Language:Russian
Published: Moscow State Technical University of Civil Aviation 2025-05-01
Series:Научный вестник МГТУ ГА
Subjects:
Online Access:https://avia.mstuca.ru/jour/article/view/2543
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