Ranking
Consensus Reaching: Iterative aggregation of expert opinions toward group consensus
Herrera-Viedma, E., Herrera, F., Chiclana, F. · 2002
Overview
Group decision: iterative feedback-driven consensus convergence. Output typically robustness_score (higher value = preferred).
Strengths
- •Method-specific: Group decision: iterative feedback-driven consensus convergence
Limitations
- •Assumes: A base ranking method is selected
- •Assumes: Computational budget for repeated runs
Method assistant
Grounded explanations: it explains the method, it does not compute.
Assumptions to verify
- •A base ranking method is selected
- •Computational budget for repeated runs
When not to use
- •Quick analysis needed → defer robustness check
Edge cases
- •See F.steps and D.parameters for CONSENSUS-REACHING-specific edge handling. recommendation_metadata.assumptions_to_verify also lists boundary conditions.
Common pitfalls
- •Hatalı: 'CONSENSUS-REACHING bu varsayımı kontrol etmeden uygulamak'. Doğrusu: A base ranking method is selected
- •Hatalı: 'CONSENSUS-REACHING bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Computational budget for repeated runs
- •Hatalı: CONSENSUS-REACHING'yi 'Quick analysis needed → defer robustness check' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
Worked example
- 1.Adım 1 (F1): Validate inputs for consensus-reaching. Formül: cd=1-\frac{1}{\binom{m}{2}}\sum_{i<k}|r_{ij}-r_{kj}|\geq\text{threshold} Anchor: Herrera-Viedma 2002, (pending PDF page verification)
How to cite
Herrera-Viedma, E.; Herrera, F.; Chiclana, F. (2002). A consensus model for multiperson decision making with different preference structures. IEEE Transactions on Systems, Man and Cybernetics: Part A. https://doi.org/10.1109/tsmca.2002.802821