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| Estensione linguistica di L2T-COPRAS× | CCSD× | |
|---|---|---|
| Campo | Processo decisionale | Processo decisionale |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 2021 | 2010 |
| Ideatore≠ | Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. | Wang, Y. M., Luo, Y. |
| Tipo≠ | Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α)) | Correlation-penalised standard-deviation weighting |
| Fonte seminale≠ | Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. (2021). An integrated method for hybrid distribution with estimation of demand matching degree (interval 2-tuple linguistic COPRAS). 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 ↗ |
| Alias | — | — |
| Correlati | 8 | 8 |
| Sintesi≠ | L2T-COPRAS (Linguistic extension of L2T-COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. in 2021. 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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