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Extension par intervalles de TODIM×BWM bayésien×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20202020
Auteur d'origineMishra, A. R., Rani, P., Pardasani, K. R., Mardani, A., Stević, Ž., Pamučar, D.Mohammadi, M., Rezaei, J.
TypeInterval outranking/ranking — Interval Number (IN: [a, b])Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatriceMishra, A. R., Rani, P., Pardasani, K. R., Mardani, A., Stević, Ž., Pamučar, D. (2020). A novel entropy and divergence measures with multi-criteria service quality assessment using interval-valued intuitionistic fuzzy TODIM method. Soft Computing DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Apparentées88
RésuméIV-TODIM (Interval extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Mishra, A. R., Rani, P., Pardasani, K. R., Mardani, A., Stević, Ž., Pamučar, D. 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: IV-TODIM · BWM-BAYESIAN. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare