Ranking of Alternatives based on Preference Strength
RAPS (Ranking of Alternatives based on Preference Strength) is a ranking multi-criteria decision-making (MCDM) method introduced by Dezert, J., Tchamova, A. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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Method map
The neighbourhood of related methods — select a node to explore.
When to use it
R_i ∈ [0,1]. R_i = 0.5 means equal preference wins and losses. Higher R means stronger relative preference advantage. RAPS is designed to be rank-reversal free: it normalises preference strength by the total (PS_ik + PS_ki), making each pairwise comparison self-contained.
Strengths & limitations
- Follows a transparent, reproducible computational procedure that can be audited step by step.
- Handles multiple criteria of differing scales and units within a single decision matrix.
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- Dezert, J., Tchamova, A. (2021). On the effectiveness of measures of uncertainty of basic belief assignments. Information & Security: An International Journal DOI: 10.11610/isij.5201 ↗
How to cite this page
ScholarGate. (2026, June 2). Ranking of Alternatives based on Preference Strength. ScholarGate. https://scholargate.app/en/decision-making/raps
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
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