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Rough-VIKOR×Bayesi BWM×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20152020
LoojaZhu, G. Hu, J. Qi, J. Gu, C. Peng, Y.Mohammadi, M., Rezaei, J.
TüüpRough outranking/ranking — Rough number (lower approximation L, upper approximation U)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
AlgallikasZhu, 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 ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Rööpnimetused
Seotud88
KokkuvõteROUGH-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.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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ScholarGateVõrdle meetodeid: ROUGH-VIKOR · BWM-BAYESIAN. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare