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。
| 扩展犹豫模糊语言EDAS (EHFL-EDAS)× | 层次分析法× | Analytic Network Process (ANP，具有反馈和相互依赖性的AHP)× | 贝叶斯BWM× | |
|---|---|---|---|---|
| 领域 | 决策 | 决策 | 决策 | 决策 |
| 方法族 | MCDM | MCDM | MCDM | MCDM |
| 起源年份≠ | 2018 | 1980 | 1996 | 2020 |
| 提出者≠ | Feng, X., Wei, C., Liu, Q. | Saaty, T. L. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| 类型≠ | Probabilistic Hesitant outranking/ranking — Probabilistic Hesitant Fuzzy Element (PHFE: {γ|p} pairs) | Pairwise comparison (eigenvalue) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| 开创性文献≠ | Feng, X., Wei, C., Liu, Q. (2018). EDAS Method for Extended Hesitant Fuzzy Linguistic Multi-criteria Decision Making. International Journal of Fuzzy Systems DOI ↗ | Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713 | Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8 | Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗ |
| 别名 | — | — | — | — |
| 相关 | 8 | 8 | 8 | 8 |
| 摘要≠ | PHF-EDAS (Extended Hesitant Fuzzy Linguistic EDAS (EHFL-EDAS)) is a ranking multi-criteria decision-making (MCDM) method introduced by Feng, X., Wei, C., Liu, Q. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AHP (Analytic Hierarchy Process) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1980. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | BWM-BAYESIAN (Bayesian BWM — Probabilistic Group Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Mohammadi, M., Rezaei, J. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate数据集 ↗ |
|
|
|
|