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Home›Decision-making›Taxonomy Method — Wrocław Taxonomic Development Measure
MCDMRankingcrisp

Taxonomy Method — Wrocław Taxonomic Development Measure

TAXONOMY (Taxonomy Method — Wrocław Taxonomic Development Measure) is a ranking multi-criteria decision-making (MCDM) method introduced by Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S. in 1951. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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TAXONOMY
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITICZ-SCORE-NORMALIZATION

When to use it

d_i ∈ (−∞,1]. Higher d means closer to the ideal reference object. The Taxonomy method and Hellwig's method share the same algorithm; the key difference is historical context — Taxonomy originates in 1951 Wrocław School of Mathematics, Hellwig applied it to socio-economic development measurement in 1968.

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. Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S. (1951). Taksonomia wrocławska. Przegląd Antropologiczny link ↗

How to cite this page

ScholarGate. (2026, June 2). Taxonomy Method — Wrocław Taxonomic Development Measure. ScholarGate. https://scholargate.app/en/decision-making/taxonomy

Related methods

AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

Which method?

Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.

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  • CIMASDecision-making↔ compare
  • CRITICDecision-making↔ compare
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Referenced by

Z-SCORE-NORMALIZATION

Similar methods

HELLWIGWEIGHTED-VOTINGZ-SCORE-NORMALIZATIONTOPSISDIST-MINKOWSKICOMPROMISE-PROGRAMMINGAHPTOPSIS-SORT

Related reference concepts

Multidimensional ScalingWelfare EconomicsPolicy AnalysisMathematical Methods • Programming Models • Mathematical and Simulation ModelingEquity, Justice, Inequality, and Other Normative Criteria and MeasurementHierarchical Cluster Analysis

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

ScholarGate — TAXONOMY (Taxonomy Method — Wrocław Taxonomic Development Measure). Retrieved 2026-07-20 from https://scholargate.app/en/decision-making/taxonomy · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Florek, K., Łukaszewicz, J., Perkal, J., Steinhaus, H., Zubrzycki, S.
Subfamily
Ranking
Year
1951
Type
Taxonomic distance composite index (z-score + Euclidean ideal)
Value Space
crisp
Uncertainty
None
Compensation
full
Rank Reversal
No
Related methods
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC
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