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ROUGH-MABAC×BWM bayésien×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20192020
Auteur d'origineJia, F., Liu, Y., Wang, X.Mohammadi, M., Rezaei, J.
TypeIF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatriceJia, 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 ↗
Alias
Apparentées88
RésuméROUGH-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.
ScholarGateJeu de données
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ScholarGateComparer des méthodes: ROUGH-MABAC · BWM-BAYESIAN. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare