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rafsi  

Ranking of Alternatives with the RAFSI Method
View on CRAN: Click here


Download and install rafsi package within the R console
Install from CRAN:
install.packages("rafsi")

Install from Github:
library("remotes")
install_github("cran/rafsi")

Install by package version:
library("remotes")
install_version("rafsi", "0.0.2")



Attach the package and use:
library("rafsi")
Maintained by
Mateus Vanzetta
[Scholar Profile | Author Map]
First Published: 2024-09-25
Latest Update: 2024-09-25
Description:
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.
How to cite:
Mateus Vanzetta (2024). rafsi: Ranking of Alternatives with the RAFSI Method. R package version 0.0.2, https://cran.r-project.org/web/packages/rafsi. Accessed 17 Feb. 2025.
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