KEmeny Median Indicator Ranks Accordance
KEMIRA (KEmeny Median Indicator Ranks Accordance) is a ranking multi-criteria decision-making (MCDM) method introduced by Krylovas, A. Zavadskas, E. K. Kosareva, N. Dadelo, S. in 2014. 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
KEMIRA targets situations where the criteria split into two semantically distinct groups (e.g. technical vs social) and several experts disagree on intra-group ordering. The Kemeny-median step produces a single consensus priority per group; the F(X,Y) step picks weights that make the two group-aggregates as balanced as possible. The final ranking is then a simple sum of weighted group scores.
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.Krylovas, A., Zavadskas, E. K., Kosareva, N., Dadelo, S. (2014). New KEMIRA method for determining priorities of the attributes in solving MCDM problem. International Journal of Information Technology & Decision Making
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Cite this page
ScholarGate. (2026, June 2). KEMIRA. ScholarGate. https://scholargate.app/decision-making/kemira