Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Ranžēšana pēc pārākuma un nepārākuma× | Analytic Network Process (ANP ar atgriezenisko saiti un savstarpēju atkarību)× | Bayesian BWM× | |
|---|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM | MCDM |
| Izcelsmes gads≠ | 2001 | 1996 | 2020 |
| Autors≠ | Xu, X. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| Tips≠ | Outranking-utility hybrid (PROMETHEE+SAW+TOPSIS) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Pirmavots≠ | Xu, X. (2001). The SIR method: A superiority and inferiority ranking method for multiple criteria decision making. European Journal of Operational Research DOI ↗ | 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 ↗ |
| Citi nosaukumi | — | — | — |
| Saistītās | 8 | 8 | 8 |
| Kopsavilkums≠ | SIR (Superiority and Inferiority Ranking) is a outranking multi-criteria decision-making (MCDM) method introduced by Xu, X. in 2001. 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. |
| ScholarGateDatu kopa ↗ |
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