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Home›Decision-making›Dominance-Based Rough Set Approach
MCDMSortingcrisp

Dominance-Based Rough Set Approach

DRSA (Dominance-Based Rough Set Approach) is a sorting multi-criteria decision-making (MCDM) method introduced by Greco, S. Matarazzo, B. Słowiński, R. in 2001. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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When to use it

DRSA is non-compensatory; suitable for ordinal data without numerical weights.

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. Greco, S., Matarazzo, B., Słowiński, R. (2001). Rough sets theory for multicriteria decision analysis. European Journal of Operational Research DOI: 10.1016/s0377-2217(00)00167-3 ↗

How to cite this page

ScholarGate. (2026, June 2). Dominance-Based Rough Set Approach. ScholarGate. https://scholargate.app/en/decision-making/drsa

Similar methods

ROUGH-DRSAROUGH-ARASROUGH-MOORAROUGH-COPRASTOPSIS-SORTROUGH-VIKORROUGH-TOPSISROUGH-WASPAS

Related reference concepts

Decision Support SystemsDecision MakingDecision Making SkillsMultidimensional ScalingEvaluation CriteriaPrincipal Component Analysis

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

ScholarGate — DRSA (Dominance-Based Rough Set Approach). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/drsa · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Greco, S. Matarazzo, B. Słowiński, R.
Subfamily
Sorting
Year
2001
Type
Rough-set dominance induction of if-then decision rules for sorting
Value Space
crisp
Uncertainty
None
Compensation
partial
Rank Reversal
No
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