MCDMDecision-makingRankingMath steps
Organisation, Rangement Et Synthèse de données rElaTionnEllEs
ORESTE (Organisation, Rangement Et Synthèse de données rElaTionnEllEs) is a ranking multi-criteria decision-making (MCDM) method introduced by Roubens, M. in 1982. 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
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How it works
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When to use it
d(a_i) ≥ 0. Lower d means closer to the ideal reference. ORESTE uses ordinal criterion importance ranks rather than cardinal weights — easier to elicit from decision-makers. The threshold δ controls indifference/incomparability: large δ → more alternatives declared indifferent.
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
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Roubens, M. (1982). Preference relations on actions and criteria in multicriteria decision making. European Journal of Operational Research
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Cite this page
ScholarGate. (2026, June 2). ORESTE. ScholarGate. https://scholargate.app/decision-making/oreste