rafsi: Ranking of Alternatives with the RAFSI Method

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.

Version: 0.0.2
Depends: R (≥ 4.2.0)
Suggests: knitr, rmarkdown, spelling, testthat (≥ 3.0.0)
Published: 2024-09-25
DOI: 10.32614/CRAN.package.rafsi
Author: Mateus Vanzetta [aut, cre], Marcos Santos ORCID iD [ctb]
Maintainer: Mateus Vanzetta <mateusvanzetta at id.uff.br>
License: GPL (≥ 3)
NeedsCompilation: no
Language: en-US
Materials: README
CRAN checks: rafsi results

Documentation:

Reference manual: rafsi.pdf
Vignettes: Using the RAFSI Method (source, R code)

Downloads:

Package source: rafsi_0.0.2.tar.gz
Windows binaries: r-devel: rafsi_0.0.2.zip, r-release: rafsi_0.0.2.zip, r-oldrel: rafsi_0.0.2.zip
macOS binaries: r-release (arm64): rafsi_0.0.2.tgz, r-oldrel (arm64): rafsi_0.0.2.tgz, r-release (x86_64): rafsi_0.0.2.tgz, r-oldrel (x86_64): rafsi_0.0.2.tgz

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