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| ROUGH-MARCOS× | Corrélation des critères et écart-type pour la pondération objective× | |
|---|---|---|
| Domaine | Prise de décision | Prise de décision |
| Famille | MCDM | MCDM |
| Année d'origine≠ | 2022 | 2010 |
| Auteur d'origine≠ | Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. | Wang, Y. M., Luo, Y. |
| Type≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Correlation-penalised standard-deviation weighting |
| Source fondatrice≠ | Matić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings DOI ↗ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ |
| Alias | — | — |
| Apparentées | 8 | 8 |
| Résumé≠ | ROUGH-MARCOS (Rough-MARCOS — Rough extension of MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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