Ranking of Alternatives with the RAFSI Method R package rafsi version 0.0.2 Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval Method is designed to perform multi-criteria decision-making (MCDM), developed by Mališa Žižovic in 2020 (<doi:10.3390/math8061015>). It calculates the final sorted rankings based on a decision matrix where rows represent alternatives and columns represent criteria. The method uses: - A numeric vector of weights for each criterion (the sum of weights must be 1). - A numeric vector of ideal values for each criterion. - A numeric vector of anti-ideal values for each criterion. - Numeric values representing the extent to which the ideal value is preferred over the anti-ideal value, and the extent to which the anti-ideal value is considered worse. The function standardizes the decision matrix, normalizes the data, applies weights, and returns the final sorted rankings. Software Depends: R (>= 4.2.0) Suggests: knitr, rmarkdown, spelling, testthat (>= 3.0.0) Mateus Vanzetta <mateusvanzetta@id.uff.br> Comprehensive R Archive Network (CRAN) Mateus Vanzetta [aut, cre], Marcos Santos [ctb] (ORCID: <https://orcid.org/0000-0003-1533-5535>) GPL (>= 3) 2024-09-25 application/tgz https://CRAN.R-project.org/package=rafsi doi:10.32614/CRAN.package.rafsi en-US