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| ROUGH-COPRAS× | Ponderación objetiva por correlación de criterios y desviación estándar× | |
|---|---|---|
| Campo | Toma de decisiones | Toma de decisiones |
| Familia | MCDM | MCDM |
| Año de origen≠ | 2018 | 2010 |
| Autor original≠ | Pamučar, D. Božanić, D. Lukovac, V. Komazec, N. | Wang, Y. M., Luo, Y. |
| Tipo≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Correlation-penalised standard-deviation weighting |
| Fuente seminal≠ | Pamučar, D., Božanić, D., Lukovac, V., Komazec, N. (2018). Normalized weighted geometric Bonferroni mean operator of interval rough numbers – application in interval rough DEMATEL-COPRAS model. Facta Universitatis Series: Mechanical Engineering 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 | — | — |
| Relacionados | 8 | 8 |
| Resumen≠ | ROUGH-COPRAS (Rough-COPRAS — Rough extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Božanić, D. Lukovac, V. Komazec, N. in 2018. 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. |
| ScholarGateConjunto de datos ↗ |
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