MCDMDecision-makingRankingMath steps
Rank Reversal Analysis — Detection of ranking instability when alternatives are added/removed
RANK-REVERSAL (Rank Reversal Analysis — Detection of ranking instability when alternatives are added/removed) is a ranking multi-criteria decision-making (MCDM) method introduced by Triantaphyllou, E. in 2000. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- 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.
Intuition
This section is available to Pro members. Upgrade to Pro
How it works
This section is available to Pro members. Upgrade to Pro
When to use it
Rank Reversal Analysis — Detection of ranking instability when alternatives are added/removed
Strengths & limitations
Strengths
- 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.
Limitations
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- 1.Triantaphyllou, E. (2000). Multi-Criteria Decision Making Methods: A Comparative Study. Kluwer Academic Publishers, Dordrecht
You have read it. What now?
Cite this page
ScholarGate. (2026, June 2). RANK-REVERSAL. ScholarGate. https://scholargate.app/decision-making/rank-reversal