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| Avaluació Combinatòria Basada en Distàncies× | Pesos objectius per correlació de criteris i desviació estàndard× | |
|---|---|---|
| Camp | Presa de decisions | Presa de decisions |
| Família | MCDM | MCDM |
| Any d'origen≠ | 2016 | 2010 |
| Autor original≠ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. | Wang, Y. M., Luo, Y. |
| Tipus≠ | Distance from anti-ideal (Euclidean + Taxicab) | Correlation-penalised standard-deviation weighting |
| Font seminal≠ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗ | 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 ↗ |
| Àlies | — | — |
| Relacionats | 8 | 8 |
| Resum≠ | CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. 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. |
| ScholarGateConjunt de dades ↗ |
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