MCDMDistancecrisp
Chebyshev Distance — L∞ norm (maximum coordinate difference)
DIST-CHEBYSHEV (Chebyshev Distance — L∞ norm (maximum coordinate difference)) is a distance multi-criteria decision-making (MCDM) method introduced by Roy, B. in 1991. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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When to use it
d ≥ 0; d=0 iff a=b. Chebyshev Distance is symmetric.
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.
Sources
- Roy, B. (1991). Chebyshev Distance. Journal of Multi-Criteria Decision Analysis link ↗
How to cite this page
ScholarGate. (2026, June 2). Chebyshev Distance — L∞ norm (maximum coordinate difference). ScholarGate. https://scholargate.app/en/decision-making/dist-chebyshev
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