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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "IFARIMA" in publications use:'
type: software
license: GPL-3.0-only
title: 'IFARIMA: Intuitionistic Fuzzy Autoregressive Integrated Moving Average Model'
version: 0.1.0
abstract: 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) <https://doi.org/10.1016/j.eswa.2022.119336>.
authors:
- family-names: Sarkar
  given-names: Anita
- family-names: Singh
  given-names: Ankit Kumar
- family-names: Yeasin
  given-names: Md
  email: yeasin.iasri@gmail.com
- family-names: Paul
  given-names: Ranjit Kumar
- family-names: Paul
  given-names: Amrit Kumar
- family-names: Bora
  given-names: Pushkar
repository: https://cran.r-universe.dev
commit: 02d8f258bf01fe91918afa61ce3a79d536c18b74
date-released: '2026-10-29'
contact:
- family-names: Yeasin
  given-names: Md
  email: yeasin.iasri@gmail.com