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.
- Version0.0.2
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- Languageen-US
- Last release09/25/2024
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Team
Mateus Vanzetta
Marcos Santos
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