Ranking
REGIME: Ordinal multi-criteria method based on pairwise regime analysis
Hinloopen, E., Nijkamp, P., Rietveld, P. · 1983
Overview
Pairwise regime matrix aggregation (ordinal weights). Output typically utility (higher value = preferred).
Strengths
- •Method-specific: Pairwise regime matrix aggregation (ordinal weights)
Limitations
- •Assumes: Criteria preferences are independent (no synergistic interactions)
- •Assumes: Compensation is acceptable: high score on one criterion can offset low on another
- •Assumes: Decision matrix is complete (no missing values)
Method assistant
Grounded explanations: it explains the method, it does not compute.
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)
When not to use
- •Criteria strongly correlated → consider DEMATEL/ANP for interdependence
- •Non-compensatory preferences → consider outranking (ELECTRE/PROMETHEE)
Edge cases
- •if A_i dominates A_k on criterion j (adjusted for direction), −1 if dominated, 0 if equal.
Common pitfalls
- •Hatalı: 'REGIME bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Criteria preferences are independent (no synergistic interactions)
- •Hatalı: 'REGIME bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Compensation is acceptable: high score on one criterion can offset low on another
- •Hatalı: 'REGIME bu varsayımı kontrol etmeden uygulamak'. Doğrusu: Decision matrix is complete (no missing values)
- •Hatalı: REGIME'yi 'Criteria strongly correlated → consider DEMATEL/ANP for interdependence' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
- •Hatalı: REGIME'yi 'Non-compensatory preferences → consider outranking (ELECTRE/PROMETHEE)' durumunda kullanmak: recommendation_metadata.not_recommended_when alternatif öneriyor.
Worked example
- 1.Adım 1 (F1): Step 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. Formül: e_{ik,j} = \text{sign}\bigl((x_{ij}-x_{kj})\cdot d_{j}\bigr),\quad d_{j}=+1\text{ (benefit)},\;-1\text{ (cost)} Anchor: Hinloopen et al. 1983, p.84
- 2.Adım 2 (F2): Step 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. Formül: R_{ik} = \sum_{j=1}^{n}w_{j}\,e_{ik,j};\qquad S_{i} = \sum_{k \neq i}R_{ik} Anchor: Hinloopen et al. 1983, p.85
Commonly paired with
- •AHP + REGIME (high)
- •BWM + REGIME (high)
- •ENTROPY + REGIME (high)
- •CRITIC + REGIME (high)
- •SWARA + REGIME (high)
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)90006-8