Delphi Method — iterative expert consensus for criterion importance elicitation
DELPHI (Delphi Method — iterative expert consensus for criterion importance elicitation) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Dalkey, N., Helmer, O. in 1963. 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
Delphi iterates expert ratings until consensus is reached (CV < threshold, typically 0.20). The final weights are normalised means of expert ratings. Anonymity and controlled feedback prevent dominant-expert bias. Typically 2–4 rounds suffice.
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.
- Results depend on the chosen normalisation, weights, and parameter settings.
Common pitfalls
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Sources
- 1.Dalkey, N., Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science
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Cite this page
ScholarGate. (2026, June 2). DELPHI. ScholarGate. https://scholargate.app/decision-making/delphi