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Rough-MABAC×Bayesi BWM×
ValdkondOtsustamineOtsustamine
PerekondMCDMMCDM
Tekkeaasta20192020
LoojaJia, F., Liu, Y., Wang, X.Mohammadi, M., Rezaei, J.
TüüpIF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
AlgallikasJia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Rööpnimetused
Seotud88
KokkuvõteROUGH-MABAC (Rough-MABAC — Rough extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Jia, F., Liu, Y., Wang, X. in 2019. 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-MABAC · BWM-BAYESIAN. Loetud 2026-06-17 aadressilt https://scholargate.app/et/compare