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Home›Decision-making›Hamming Distance — count of positions where two equal-length sequences differ
MCDMDistancecrisp

Hamming Distance — count of positions where two equal-length sequences differ

DIST-HAMMING (Hamming Distance — count of positions where two equal-length sequences differ) is a distance multi-criteria decision-making (MCDM) method introduced by Hamming, R. W. in 1950. 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. Hamming 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

  1. Hamming, R. W. (1950). Hamming Distance. Bell System Technical Journal link ↗

How to cite this page

ScholarGate. (2026, June 2). Hamming Distance — count of positions where two equal-length sequences differ. ScholarGate. https://scholargate.app/en/decision-making/dist-hamming

Similar methods

DIST-MINKOWSKIDIST-MANHATTANDIST-EUCLIDEANDIST-CHEBYSHEVMAHALANOBIS-DISTANCEENTROPYBONFERRONI-MEANTNORM-HAMACHER

Related reference concepts

Sequence Alignment AlgorithmsError-Correcting CodesDecision Support SystemsDecision MakingMultidimensional ScalingDynamic Programming

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — DIST-HAMMING (Hamming Distance — count of positions where two equal-length sequences differ). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/dist-hamming · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Hamming, R. W.
Subfamily
Distance
Year
1950
Type
Distance (categorical, count of differing positions)
Value Space
crisp
Uncertainty
None
Compensation
N/A
Rank Reversal
No
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