MCDMDecision-makingAggregationOperatorMath steps
Weighted Arithmetic Mean
WAM (Weighted Arithmetic Mean) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Yager, R. R. in 1988. 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
Apply F.steps in order; final score determines descending ranking.
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
- Assumes full compensation — a strong score on one criterion can offset a weak score on another.
Sources
- 1.Yager, R. R. (1988). On ordered weighted averaging aggregation operators in multicriteria decisionmaking. IEEE Transactions on Systems, Man, and Cybernetics
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Cite this page
ScholarGate. (2026, June 2). WAM. ScholarGate. https://scholargate.app/decision-making/wam