MCDMDecision-makingRankingMath steps
Mixed Aggregation by Comprehensive Normalization Technique
MACONT (Mixed Aggregation by Comprehensive Normalization Technique) is a ranking multi-criteria decision-making (MCDM) method introduced by Wen, Z. Liao, H. Zavadskas, E. K. in 2020. 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
MACONT mitigates normalization sensitivity by averaging across multiple normalization approaches.
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.
Common pitfalls
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Sources
- 1.Wen, Z., Liao, H., Zavadskas, E. K. (2020). MACONT: Mixed Aggregation by Comprehensive Normalization Technique for Multi-Criteria Analysis. Informatica 31(4):857-880
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Cite this page
ScholarGate. (2026, June 2). MACONT. ScholarGate. https://scholargate.app/decision-making/macont