MCDMDecision-makingAggregationOperatorMath steps
Average ranking — per-alternative mean rank
AVERAGE-RANKING (Average ranking — per-alternative mean rank) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Orakçı, E. in 2024. 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
Input: rank matrix (rows=alts, cols=rankings, cell=rank 1..m). Source: Orakçı 2024 §1.8.9.
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.
Sources
- 1.Orakçı, E. (2024). Çok Kriterli Karar Verme Problemleri için Toplulaştırma Teknikleri. Özgür Yayınları
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Cite this page
ScholarGate. (2026, June 2). AVERAGE-RANKING. ScholarGate. https://scholargate.app/decision-making/average-ranking