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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.

Versions across snapshots

VersionRepositoryFileSize
0.0.2 rolling linux/jammy R-4.5 rafsi_0.0.2.tar.gz 20.7 KiB
0.0.2 rolling linux/noble R-4.5 rafsi_0.0.2.tar.gz 20.7 KiB
0.0.2 rolling source/ R- rafsi_0.0.2.tar.gz 11.4 KiB
0.0.2 latest linux/jammy R-4.5 rafsi_0.0.2.tar.gz 20.7 KiB
0.0.2 latest linux/noble R-4.5 rafsi_0.0.2.tar.gz 20.7 KiB
0.0.2 latest source/ R- rafsi_0.0.2.tar.gz 11.4 KiB
0.0.2 2026-04-26 source/ R- rafsi_0.0.2.tar.gz 11.4 KiB
0.0.2 2026-04-23 source/ R- rafsi_0.0.2.tar.gz 11.4 KiB
0.0.2 2026-04-09 windows/windows R-4.5 rafsi_0.0.2.zip 25.1 KiB
0.0.2 2025-04-20 source/ R- rafsi_0.0.2.tar.gz 11.4 KiB

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