手法を比較
選択した手法を並べて確認できます。異なる行はハイライト表示されます。
| 組み合わせ距離に基づく評価× | 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≠ | 2016 | 2010 |
| 提唱者≠ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. | Wang, Y. M., Luo, Y. |
| 種類≠ | Distance from anti-ideal (Euclidean + Taxicab) | Correlation-penalised standard-deviation weighting |
| 原典≠ | 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 ↗ |
| 別名 | — | — |
| 関連 | 8 | 8 |
| 概要≠ | 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. |
| ScholarGateデータセット ↗ |
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