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| Grey-WASPAS× | 계층 분석 과정× | Analytic Network Process (피드백 및 상호 의존성을 포함한 AHP)× | Bayesian BWM× | |
|---|---|---|---|---|
| 분야 | 의사결정 | 의사결정 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM | MCDM | MCDM |
| 기원 연도≠ | 2012 | 1980 | 1996 | 2020 |
| 창시자≠ | Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. | Saaty, T. L. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| 유형≠ | Grey outranking/ranking — Grey Interval Number (GIN: [x̲, x̄]) | Pairwise comparison (eigenvalue) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| 원전≠ | Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. (2012). Optimization of Weighted Aggregated Sum Product Assessment. Electronics and Electrical Engineering DOI ↗ | 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 ↗ |
| 별칭 | — | — | — | — |
| 관련 | 8 | 8 | 8 | 8 |
| 요약≠ | GREY-WASPAS (Grey-WASPAS — Grey extension of WASPAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z., Antucheviciene, J., Zakarevicius, A. 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. |
| ScholarGate데이터셋 ↗ |
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