MCDMDecision-makingWeight SubjectiveMath steps
Defining Interrelationships Between Ranked criteria
DIBR (Defining Interrelationships Between Ranked criteria) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Žižović, M., Marinković, D., Doljanica, D. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
Key highlights
- 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.
Intuition
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How it works
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When to use it
DIBR requires only n−1 ratio judgements (no pairwise matrix). The formula directly ensures transitivity: w_j/w_{j+1} = φ_{j+1} for all adjacent pairs. It produces crisp weights with built-in consistency.
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.
Common pitfalls
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Sources
- 1.Pamučar, D., Žižović, M., Marinković, D., Doljanica, D. (2021). Development of an alternative approach for the selection of suppliers under the conditions of fuzzy sets. Symmetry
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Cite this page
ScholarGate. (2026, June 2). DIBR. ScholarGate. https://scholargate.app/decision-making/dibr