Intuitionistic Fuzzy Autoregressive Integrated Moving Average Model

The Intuitionistic Fuzzy Autoregressive Integrated Moving Average model offers advanced time series forecasting by integrating intuitionistic fuzzy sets with ARIMA. It enhances prediction accuracy by handling uncertainties and hesitations more effectively than traditional models, making it ideal for complex, real-world data applications. The package has been developed using the algorithm of Yolcu and Yolcu (2023) .


Reference manual

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install.packages("IFARIMA")

0.1.0 by Md Yeasin, 21 hours ago


Browse source code at https://github.com/cran/IFARIMA


Authors: Anita Sarkar [aut] , Ankit Kumar Singh [aut] , Md Yeasin [aut, cre] , Ranjit Kumar Paul [aut] , Amrit Kumar Paul [aut] , Pushkar Bora [aut]


Documentation:   PDF Manual  


GPL-3 license


Imports stats, forecast

Suggests testthat


See at CRAN