MCDMDecision-makingDefuzzificationMath steps
Mean of Maxima (MOM) Defuzzification — Crisp value at the plateau of maximum membership
DEFUZZ-MOM (Mean of Maxima (MOM) Defuzzification — Crisp value at the plateau of maximum membership) is a defuzzification multi-criteria decision-making (MCDM) method introduced by Lee, C.C. in 1990. 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
MOM = modal value = b for TFN. Fast and simple. Ignores spread (a and c). Use when the most likely value is the only relevant information and tails are not informative.
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.Lee, C.C. (1990). Fuzzy logic in control systems: fuzzy logic controller, Part I. IEEE Transactions on Systems, Man, and Cybernetics
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Cite this page
ScholarGate. (2026, June 2). DEFUZZ-MOM. ScholarGate. https://scholargate.app/decision-making/defuzz-mom