مقایسهٔ روشها
روشهای انتخابی خود را کنار هم مرور کنید؛ ردیفهای متفاوت برجسته شدهاند.
| بسط زبانی L2T-COPRAS× | وزندهی عینی همبستگی معیار و انحراف معیار× | |
|---|---|---|
| حوزه | تصمیمگیری | تصمیمگیری |
| خانواده | MCDM | MCDM |
| سال پیدایش≠ | 2021 | 2010 |
| پدیدآور≠ | Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. | Wang, Y. M., Luo, Y. |
| نوع≠ | Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α)) | Correlation-penalised standard-deviation weighting |
| منبع بنیادین≠ | 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 ↗ |
| نامهای دیگر | — | — |
| مرتبط | 8 | 8 |
| خلاصه≠ | 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. |
| ScholarGateمجموعهداده ↗ |
|
|