Software of Time Series Forecasting based on Combinations of Fuzzy and Statistical Models

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T. Afanasieva, A. Sapunkov, A. Afanasiev


The developed software is a web application with open access and is aimed on forecasting of time series stored in database. We proposed approach of time series forecasting, combined ARIMA models with fuzzy techniques: three fuzzy time series models, fuzzy transformation (F-transform) and ACL-scale. Applications of a proposed web service have demonstrated efficiency in practical time series predictions with suitable accuracy.

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