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| Rough-VIKOR× | Analytic Network Process (AHP visszacsatolással és kölcsönhatásokkal)× | Bayes-féle BWM× | |
|---|---|---|---|
| Tudományterület | Döntéshozatal | Döntéshozatal | Döntéshozatal |
| Módszercsalád | MCDM | MCDM | MCDM |
| Keletkezés éve≠ | 2015 | 1996 | 2020 |
| Megalkotó≠ | Zhu, G. Hu, J. Qi, J. Gu, C. Peng, Y. | Saaty, T. L. | Mohammadi, M., Rezaei, J. |
| Típus≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Weight_Subjective (pairwise comparison, supermatrix, network structure) | Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision |
| Alapmű≠ | Zhu, G., Hu, J., Qi, J., Gu, C., Peng, Y. (2015). An integrated AHP and VIKOR for design concept evaluation based on rough number. Advanced Engineering Informatics 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 ↗ |
| Alternatív nevek | — | — | — |
| Kapcsolódó | 8 | 8 | 8 |
| Összefoglaló≠ | ROUGH-VIKOR (Rough-VIKOR — Rough extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Zhu, G. Hu, J. Qi, J. Gu, C. Peng, Y. in 2015. 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. |
| ScholarGateAdatkészlet ↗ |
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