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 [ctb]
Maintainer:	Mateus Vanzetta <mateusvanzetta at id.uff.br>
License:	GPL (≥ 3)
NeedsCompilation:	no
Language:	en-US
Materials:	README
CRAN checks:	rafsi results

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