方法对比
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| 基于D-数（邓氏证据理论）的改进TOPSIS方法× | 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 |
| 方法族 | MCDM | MCDM | MCDM |
| 起源年份≠ | 2016 | 1996 | 2020 |
| 提出者≠ | Fei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| 类型≠ | D-Number ranking — D:Ω→[0,1] with Σ_{B⊆Ω} D(B) ≤ 1; incomplete evidence allowed (Deng 2012) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| 开创性文献≠ | Fei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y. (2016). A Modified TOPSIS Method Based on D Numbers and Its Applications in Human Resources Selection. Mathematical Problems in Engineering link ↗ | 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 |
| 摘要≠ | D-TOPSIS (Modified TOPSIS based on D-Numbers (Deng Evidence Theory)) is a ranking multi-criteria decision-making (MCDM) method introduced by Fei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y. in 2016. 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. |
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