Cook & Seiford (1978) — distance-based ranking aggregation
COOK-SEIFORD (Cook & Seiford (1978) — distance-based ranking aggregation) 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.
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Method map
The neighbourhood of related methods — select a node to explore.
When to use it
Input: rank matrix (rows=alts, cols=rankings, cell=rank 1..m). Source: Orakçı 2024 §1.8.7.
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.
Sources
- Orakçı, E. (2024). Çok Kriterli Karar Verme Problemleri için Toplulaştırma Teknikleri. Özgür Yayınları DOI: 10.58830/ozgur.pub623 ↗
How to cite this page
ScholarGate. (2026, June 2). Cook & Seiford (1978) — distance-based ranking aggregation. ScholarGate. https://scholargate.app/en/decision-making/cook-seiford
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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