Best-Worst Method
BWM (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. 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
BWM requires only 2n−3 pairwise comparisons (BO and OW vectors) instead of n(n−1)/2 in AHP, greatly reducing cognitive burden. The consistency indicator ξ* ∈ [0,1] measures how well the comparisons satisfy the transitivity requirement — ξ*=0 is perfectly consistent. The reference consistency index (Table 1 in Rezaei 2015) gives maximum acceptable ξ* per n.
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.
Common pitfalls
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Sources
- 1.Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega
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Cite this page
ScholarGate. (2026, June 2). BWM. ScholarGate. https://scholargate.app/decision-making/bwm