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Home›Decision-making›Simple Aggregation of Preferences Expressed by Ordinal Vectors — Multi-Decision Maker
MCDMWeightingcrisp

Simple Aggregation of Preferences Expressed by Ordinal Vectors — Multi-Decision Maker

SAPEVO-M (Simple Aggregation of Preferences Expressed by Ordinal Vectors — Multi-Decision Maker) is a weighting multi-criteria decision-making (MCDM) method introduced by Gomes, L. F. A. M. de Mello, J. C. C. B. S. Costa, H. G. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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SAPEVO-M
SAWTOPSISVIKOR

When to use it

SAPEVO-M avoids the consistency requirement of AHP; purely ordinal. Useful when DMs cannot assign numerical scores.

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. Gomes, L. F. A. M., de Mello, J. C. C. B. S., Costa, H. G. (2020). SAPEVO-M: a group ranking approach based on preference vectors. Pesquisa Operacional link ↗

How to cite this page

ScholarGate. (2026, June 2). Simple Aggregation of Preferences Expressed by Ordinal Vectors — Multi-Decision Maker. ScholarGate. https://scholargate.app/en/decision-making/sapevo-m

Related methods

SAWTOPSISVIKOR

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Similar methods

AHPHF-AHPL2T-MULTIMOORAVIKOR-SMAAMACONTAHPSORTZ-AHPSECA

Related reference concepts

Decision MakingDecision Support SystemsDecision Making SkillsParticipative Decision MakingWeighted ScoresCriteria for Decision-Making under Risk and Uncertainty

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

ScholarGate — SAPEVO-M (Simple Aggregation of Preferences Expressed by Ordinal Vectors — Multi-Decision Maker). Retrieved 2026-07-20 from https://scholargate.app/en/decision-making/sapevo-m · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Gomes, L. F. A. M. de Mello, J. C. C. B. S. Costa, H. G.
Subfamily
Weighting
Year
2020
Type
Ordinal pairwise comparisons from multiple DMs aggregated into priority weights
Value Space
crisp
Uncertainty
None
Compensation
partial
Rank Reversal
No
Related methods
SAWTOPSISVIKOR
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