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。
| SWARA II× | MEREC-G× | |
|---|---|---|
| 领域 | 决策 | 决策 |
| 方法族 | MCDM | MCDM |
| 起源年份≠ | 2010 | 2021 |
| 提出者≠ | Keršuliene, Zavadskas, and Turskis; extended by Zolfani et al. | Keshavarz Ghorabaee, Hosseinzadeh Lotfi et al. |
| 类型≠ | Expert-based stepwise weight derivation with ratio refinement | Objective weight derivation via removal impact assessment |
| 开创性文献≠ | Keršuliene, V., Zavadskas, E. K., & Turskis, Z. (2010). Selection of rational dispute resolution method by evaluating opposing parties' interest in civil litigation. Journal of Civil Engineering and Management, 16(3), 412-422. link ↗ | Keshavarz Ghorabaee, M., Hosseinzadeh Lotfi, F., Behzadi, M., & Sałabun, W. (2021). MEREC: A new multi-criteria model to evaluate wind farm locations. Sustainability, 12(15), 6136. link ↗ |
| 别名 | SWARA II, SWARA 2 | MEREC-G, Generalized MEREC |
| 相关≠ | 4 | 3 |
| 摘要≠ | SWARA II (Step-wise Weight Assessment Ratio Analysis - Improved) is an enhanced variant of the SWARA method for deriving criterion weights from expert assessments. Instead of requiring pairwise comparisons or absolute weight assignments, SWARA II asks experts to rank criteria, then assess the relative importance of each criterion compared to the next-ranked one. Improved variants enhance robustness and interpretability of weight derivation. | MEREC-G (Method Based on Removal Effects of Criteria - Generalized) is an objective weight derivation method that assigns weights based on the impact of removing each criterion from the decision analysis. The core idea is that important criteria, when removed, cause large changes in the final ranking. Generalized variants extend the original MEREC to various aggregation logic and decision contexts. |
| ScholarGate数据集 ↗ |
|
|