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| Décomposition Logarithmique de l'Importance des Critères× | AROMAN× | |
|---|---|---|
| Domaine | Prise de décision | Prise de décision |
| Famille | MCDM | MCDM |
| Année d'origine≠ | 2024 | 2022 |
| Auteur d'origine≠ | Pala, O. | Zdravković, M., Hamid, M., Radovanović, M. |
| Type≠ | Objective weighting via logarithmic decomposition | Two-step normalisation (linear + vector) with weighted power aggregation |
| Source fondatrice≠ | Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ |
| Alias | — | — |
| Apparentées | 8 | 8 |
| Résumé≠ | LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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