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| Lý thuyết Hữu dụng Đa Thuộc tính× | Quy trình Phân tích Thứ bậc× | ANP× | BWM Bayes× | |
|---|---|---|---|---|
| Lĩnh vực | Ra quyết định | Ra quyết định | Ra quyết định | Ra quyết định |
| Họ | MCDM | MCDM | MCDM | MCDM |
| Năm ra đời≠ | 1976 | 1980 | 1996 | 2020 |
| Người khởi xướng≠ | Keeney, R. L., Raiffa, H. | Saaty, T. L. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| Loại≠ | Additive multi-attribute utility function | Pairwise comparison (eigenvalue) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Công trình gốc≠ | Keeney, R. L., Raiffa, H. (1976). Decisions with Multiple Objectives: Preferences and Value Trade-offs. Wiley ISBN: 978-0-521-43883-4 | 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 ↗ |
| Tên gọi khác | — | — | — | — |
| Liên quan | 8 | 8 | 8 | 8 |
| Tóm tắt≠ | MAUT (Multi-Attribute Utility Theory) is a ranking multi-criteria decision-making (MCDM) method introduced by Keeney, R. L., Raiffa, H. in 1976. 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. |
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