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Ranking
REGIME - Ordinal multi-criteria method based on pairwise regime analysis
Pairwise regime matrix aggregation (ordinal weights)
Hinloopen, E., Nijkamp, P., Rietveld, P.1983doi:10.1016/0166-0462(83)90006-6 ↗
Overview
S_i can be any real number. Higher S means greater net pairwise dominance. S_i = 0 means balanced wins and losses. REGIME is sign-based (only direction of difference matters, not magnitude) - it is robust to outliers and scale differences. It is similar to APLOCO but without normalisation.
- Output
- net agreement, higher is better
- Data
- Crisp, complete numeric matrix
- Weights
- Needs a weight source
- Size
- 2+ alternatives, 3-12 criteria works best
- Used for
- Alternative selection, Supplier evaluation
How it works
- 1
For each ordered pair (A_i, A_k), compute regime vector e_ik: e_ik,j = +1 if A_i dominates A_k on criterion j (adjusted for direction), −1 if dominated, 0 if equal.
Hinloopen et al. 1983, p.84
- 2
Compute weighted regime score R_ik = Σ_j w_j · e_ik,j. Net dominance score for A_i: S_i = Σ_k R_ik. Rank descending.
Hinloopen et al. 1983, p.85
Look elsewhere when
Assumptions to verify
- Criteria preferences are independent (no synergistic interactions)
- Compensation is acceptable: high score on one criterion can offset low on another
- Decision matrix is complete (no missing values)
Edge cases and pitfalls
- •if A_i dominates A_k on criterion j (adjusted for direction), −1 if dominated, 0 if equal.
All alternatives identical on a criterion: e_ik,j = 0 for all pairs - the criterion contributes 0 to all scores.
Works with
How to cite
Hinloopen, E.; Nijkamp, P.; Rietveld, P. (1983). Qualitative discrete multiple criteria choice models in regional planning. Regional Science and Urban Economics. https://doi.org/10.1016/0166-0462(83)90006-6
System ID, as it appears in reports and the API
REGIME