方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 对数归一化× | 多目标比率分析优化法× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2008 | 2006 |
| 提出者≠ | Zavadskas, E. K., Turskis, Z. | Brauers, W. K. M., Zavadskas, E. K. |
| 类型≠ | Normalization (logarithmic, multiplicative) | Ratio system + reference point (vector normalisation) |
| 开创性文献≠ | Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica DOI ↗ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ |
| 别名 | — | — |
| 相关≠ | 2 | 8 |
| 摘要≠ | LOGARITHMIC-NORMALIZATION (Logarithmic Normalization — log-ratio column normalisation for multiplicative aggregation contexts) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2008. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
|
|