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Mesure des alternatives et classement selon la solution de compromis×BWM bayésien×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20202020
Auteur d'origineStević, Ž., Pamučar, D., Puška, A., Chatterjee, P.Mohammadi, M., Rezaei, J.
TypeUtility function (ideal + anti-ideal reference)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatriceStević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Apparentées88
RésuméMARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. 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: MARCOS · BWM-BAYESIAN. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare