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| MULTIMOORA× | Proses Rangkaian Analitik (AHP dengan maklum balas dan kebergantungan)× | Bayesian BWM× | |
|---|---|---|---|
| Bidang | Pembuatan Keputusan | Pembuatan Keputusan | Pembuatan Keputusan |
| Keluarga | MCDM | MCDM | MCDM |
| Tahun asal≠ | 2010 | 1996 | 2020 |
| Pengasas≠ | Brauers, W. K. M., Zavadskas, E. K. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| Jenis≠ | Dominance aggregation of three sub-rankings (RS + RP + FMF) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Sumber perintis≠ | Brauers, W. K. M., Zavadskas, E. K. (2010). Project management by MULTIMOORA as an instrument for transition economies. Technological and Economic Development of Economy 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 ↗ |
| Alias | — | — | — |
| Berkaitan | 8 | 8 | 8 |
| Ringkasan≠ | MULTIMOORA (Multi-Objective Optimisation by Ratio Analysis plus Full Multiplicative Form) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. 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-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. |
| ScholarGateSet data ↗ |
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