EVAluation of MIXed data
EVAMIX (EVAluation of MIXed data) is a ranking multi-criteria decision-making (MCDM) method introduced by Voogd, H. in 1983. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
S_i can be any real number. Higher S means greater net dominance over other alternatives across both ordinal and cardinal criteria. EVAMIX is designed for mixed-scale problems where some criteria are measured on cardinal scales (ratio, interval) and others only on ordinal scales (rankings, categories).
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
- Voogd, H. (1983). Multicriteria Evaluation for Urban and Regional Planning. Pion, London link ↗
How to cite this page
ScholarGate. (2026, June 2). EVAluation of MIXed data. ScholarGate. https://scholargate.app/en/decision-making/evamix
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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