Software of Time Series Forecasting based on Combinations of Fuzzy and Statistical Models
نویسندگان
چکیده
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. Keywords—time series; fuzzy time series; software; forecasting model
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