Comparer des méthodes
Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| Normalisation logarithmique× | Optimisation Multi-Objectif par Analyse de Rapports× | |
|---|---|---|
| Domaine | Prise de décision | Prise de décision |
| Famille | MCDM | MCDM |
| Année d'origine≠ | 2008 | 2006 |
| Auteur d'origine≠ | Zavadskas, E. K., Turskis, Z. | Brauers, W. K. M., Zavadskas, E. K. |
| Type≠ | Normalization (logarithmic, multiplicative) | Ratio system + reference point (vector normalisation) |
| Source fondatrice≠ | Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica DOI ↗ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ |
| Alias | — | — |
| Apparentées≠ | 2 | 8 |
| Résumé≠ | LOGARITHMIC-NORMALIZATION (Logarithmic Normalization — log-ratio column normalisation for multiplicative aggregation contexts) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2008. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateJeu de données ↗ |
|
|