Compromise Ranking of Alternatives from Distance to Ideal Solution
CRADIS (Compromise Ranking of Alternatives from Distance to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Puška, A., Stević, Ž., Pamučar, D. in 2021. 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
Q_i ≥ 0. Higher Q means closer to ideal and farther from anti-ideal simultaneously. CRADIS combines D⁺ (ideal gap) and D⁻ (anti-ideal gap) through an arithmetic mean of reciprocal ratios, making it similar in spirit to TOPSIS but using linear sum normalisation and weighted linear distances.
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.
Common pitfalls
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Sources
- 1.Puška, A., Stević, Ž., Pamučar, D. (2021). Evaluation and selection of healthcare waste incinerators using extended sustainability criteria and multi-criteria analysis methods. Environment, Development and Sustainability
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Cite this page
ScholarGate. (2026, June 2). CRADIS. ScholarGate. https://scholargate.app/decision-making/cradis