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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 [ctb] |
Maintainer: | Mateus Vanzetta <mateusvanzetta at id.uff.br> |
License: | GPL (≥ 3) |
NeedsCompilation: | no |
Language: | en-US |
Materials: | README |
CRAN checks: | rafsi results |
Reference manual: | rafsi.pdf |
Vignettes: |
Using the RAFSI Method (source, R code) |
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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.