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。
| ELECTRE IV× | 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≠ | 1982 | 1980 | 1996 | 2020 |
| 提出者≠ | Roy, B., Hugonnard, J. C. | Saaty, T. L. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| 类型≠ | Weight-free outranking with pseudo-criteria (complete preorder) | 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≠ | Roy, B., Hugonnard, J. C. (1982). Ranking of suburban line extension projects on the Paris metro system by a multicriteria method. Transportation Research Part A 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≠ | ELECTRE-IV (ELECTRE IV — ELimination Et Choix Traduisant la REalité IV (no criterion weights)) is a ranking multi-criteria decision-making (MCDM) method introduced by Roy, B., Hugonnard, J. C. in 1982. 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 ↗ |
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