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Home›Decision-making›Reference Alternative based Aggregation Technique
MCDMAggregationOperatorcrisp

Reference Alternative based Aggregation Technique

RAT (Reference Alternative based Aggregation Technique) is a aggregationoperator multi-criteria decision-making (MCDM) method introduced by Orakçı, E. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.

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  1. MCDM
  2. v1
  3. 1 Sources
  4. PUBLISHED
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RAT
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC

When to use it

Apply F.steps in order; final score determines descending ranking.

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. Orakçı, E. (2024). Çok Kriterli Karar Verme Problemleri için Toplulaştırma Teknikleri. Özgür Yayınları DOI: 10.58830/ozgur.pub623 ↗

How to cite this page

ScholarGate. (2026, June 2). Reference Alternative based Aggregation Technique. ScholarGate. https://scholargate.app/en/decision-making/rat

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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Similar methods

AVERAGE-RANKINGMEDIAN-RANKINGARTASIBRAUERS-DOMINANCECOOK-SEIFORDNANSONOCRAARAS

Related reference concepts

Decision MakingDecision Support SystemsWeighted ScoresRating ScalesDecision Making SkillsParticipative Decision Making

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

ScholarGate — RAT (Reference Alternative based Aggregation Technique). Retrieved 2026-07-21 from https://scholargate.app/en/decision-making/rat · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Orakçı, E.
Subfamily
AggregationOperator
Year
2024
Type
Rank aggregation (signum-weighted Euclidean-square-difference)
Value Space
crisp
Uncertainty
None
Compensation
N/A
Rank Reversal
No
Related methods
AHPANPBWMBWM-BAYESIANCCSDCILOSCIMASCRITIC
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