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Home›Decision-making›Factor Relationship weighting method
MCDMWeight Objectivecrisp

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.

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FARE
AHPSORTAPLOCOARASAROMANARTASICOBRACOCOSOCODAS

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.

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 link ↗

How to cite this page

ScholarGate. (2026, June 2). Factor Relationship weighting method. ScholarGate. https://scholargate.app/en/decision-making/fare

Related methods

AHPSORTAPLOCOARASAROMANARTASICOBRACOCOSOCODAS

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Related reference concepts

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

ScholarGate — FARE (Factor Relationship weighting method). Retrieved 2026-07-20 from https://scholargate.app/en/decision-making/fare · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
Žižović, M., Pamucar, D., Marinkovic, D., Žižović, M. M.
Subfamily
Weight Objective
Year
2020
Type
Weight Subjective (pairwise factor relationship matrix, closed-form weights)
Value Space
crisp
Uncertainty
None
Compensation
N/A
Rank Reversal
No
Related methods
AHPSORTAPLOCOARASAROMANARTASICOBRACOCOSOCODAS
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