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| L2T-COPRASの言語拡張× | 基準相関と標準偏差による客観的重み付け× | |
|---|---|---|
| 分野 | 意思決定 | 意思決定 |
| 系統 | MCDM | MCDM |
| 提唱年≠ | 2021 | 2010 |
| 提唱者≠ | Gai, T., Cao, M., Cao, Q., Wu, J., Yu, G., Zhou, M. | Wang, Y. M., Luo, Y. |
| 種類≠ | Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α)) | Correlation-penalised standard-deviation weighting |
| 原典≠ | 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 ↗ |
| 別名 | — | — |
| 関連 | 8 | 8 |
| 概要≠ | 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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