方法对比
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| Cubic-WASPAS× | 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≠ | 2012 | 1980 | 1996 | 2020 |
| 提出者≠ | Jun, Y. B. Kim, C. S. Yang, K. O. | Saaty, T. L. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| 类型≠ | Cubic outranking/ranking — Cubic Fuzzy Set (CuFS: interval [a,b] for internal membership, scalar λ for external) | 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≠ | Jun, Y. B., Kim, C. S., Yang, K. O. (2012). Cubic sets. Annals of Fuzzy Mathematics and Informatics link ↗ | 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≠ | CUBIC-WASPAS (Cubic-WASPAS — Cubic extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Jun, Y. B. Kim, C. S. Yang, K. O. in 2012. 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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