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| EDASの双対猶予ファジィ拡張× | 階層分析法× | 最良最悪法(BWM)× | ベイジアンBWM× | |
|---|---|---|---|---|
| 分野 | 意思決定 | 意思決定 | 意思決定 | 意思決定 |
| 系統 | MCDM | MCDM | MCDM | MCDM |
| 提唱年≠ | 2023 | 1980 | 2015 | 2020 |
| 提唱者≠ | Ning, B., Lin, R., Wei, G., Chen, X. | Saaty, T. L. | Rezaei, J. | Mohammadi, M., Rezaei, J. |
| 種類≠ | Dual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set) | Pairwise comparison (eigenvalue) | Pairwise comparison (best-to-others + others-to-worst vectors), LP | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| 原典≠ | Ning, B., Lin, R., Wei, G., Chen, X. (2023). EDAS method for multiple attribute group decision making with probabilistic dual hesitant fuzzy information and its application to suppliers selection. Technological and Economic Development of Economy DOI ↗ | Saaty, T. L. (1980). The Analytic Hierarchy Process: Planning, Priority Setting, Resource Allocation. McGraw-Hill, New York ISBN: 978-0070543713 | 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 ↗ |
| 別名 | — | — | — | — |
| 関連 | 8 | 8 | 8 | 8 |
| 概要≠ | DHF-EDAS (Dual Hesitant Fuzzy extension of EDAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Ning, B., Lin, R., Wei, G., Chen, X. in 2023. 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. | 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. |
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