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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.
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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.
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