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。
| 准则重要性对数分解法× | AROMAN（考虑双步归一化的排序顺序方法）× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2024 | 2022 |
| 提出者≠ | Pala, O. | Zdravković, M., Hamid, M., Radovanović, M. |
| 类型≠ | Objective weighting via logarithmic decomposition | Two-step normalisation (linear + vector) with weighted power aggregation |
| 开创性文献≠ | Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ |
| 别名 | — | — |
| 相关 | 8 | 8 |
| 摘要≠ | LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
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