MEthod based on the Removal Effects of Criteria
MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
MEREC assigns higher weight to criteria whose removal causes greater change in the overall performance ranking. It is fully data-driven and particularly sensitive to criteria that provide unique discriminating power. Criteria with highly similar performance across alternatives get lower weight.
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
- Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI: 10.3390/sym13040525 ↗
How to cite this page
ScholarGate. (2026, June 2). MEthod based on the Removal Effects of Criteria. ScholarGate. https://scholargate.app/en/decision-making/merec
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