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Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.
| EDAS Linguistique Neutrosophique 2-Tuples× | Corrélation des critères et écart-type pour la pondération objective× | |
|---|---|---|
| Domaine | Prise de décision | Prise de décision |
| Famille | MCDM | MCDM |
| Année d'origine≠ | 2019 | 2010 |
| Auteur d'origine≠ | Wang, P., Wang, J., Wei, G. | Wang, Y. M., Luo, Y. |
| Type≠ | Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α)) | Correlation-penalised standard-deviation weighting |
| Source fondatrice≠ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Olfat, L., & Turskis, Z. (2015). Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS). Informatica, 26(3), 435-451. [Canonical EDAS source; cited in place of the retracted Wang et al. (2019) 2-tuple linguistic neutrosophic EDAS paper, doi:10.3233/JIFS-179223.] 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≠ | L2T-EDAS (2-Tuple Linguistic Neutrosophic EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, P., Wang, J., Wei, G. in 2019. 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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