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Factor Relationship weighting method
FARE (Factor Relationship weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Žižović, M., Pamucar, D., Marinkovic, D., Žižović, M. M. in 2020. 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
FARE uses a one-directional factor relationship matrix — each row is filled independently (not required to be reciprocal). Row sums are normalised to weights. Simpler than AHP (no eigenvalue computation, no consistency check) but less rigorous.
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.Žižović, M., Pamucar, D., Marinkovic, D., Žižović, M. M. (2020). Novel integrated multi-criteria ranking methodology: Case of public administration efficiency. European Journal of Operational Research
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Cite this page
ScholarGate. (2026, June 2). FARE. ScholarGate. https://scholargate.app/decision-making/fare