So sánh phương pháp
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| Phiên bản mở rộng do dự của HF-CODAS× | ANP× | Phương pháp Tốt nhất-Tệ nhất (Best-Worst Method)× | BWM Bayes× | |
|---|---|---|---|---|
| Lĩnh vực | Ra quyết định | Ra quyết định | Ra quyết định | Ra quyết định |
| Họ | MCDM | MCDM | MCDM | MCDM |
| Năm ra đời≠ | 2010 | 1996 | 2015 | 2020 |
| Người khởi xướng≠ | Torra, V. | Saaty, T. L. | Rezaei, J. | Mohammadi, M., Rezaei, J. |
| Loại≠ | Hesitant outranking/ranking — Hesitant Fuzzy Element (HFE: set of possible membership degrees) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Công trình gốc≠ | Torra, V. (2010). Hesitant fuzzy sets. International Journal of Intelligent Systems DOI ↗ | Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8 | Rezaei, J. (2015). Best-worst multi-criteria decision-making method. Omega DOI ↗ | 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≠ | HF-CODAS (Hesitant extension of HF-CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Torra, V. in 2010. 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 (Best-Worst Method) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Rezaei, J. in 2015. 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. |
| ScholarGateBộ dữ liệu ↗ |
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