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Extension neutrosophique de SPOTIS×BWM bayésien×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20232020
Auteur d'origineAbdel-aziem, A. H., Mohamed, H. K., Abdelhafeez, A.Mohammadi, M., Rezaei, J.
TypeNeutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Source fondatriceAbdel-aziem, A. H., Mohamed, H. K., Abdelhafeez, A. (2023). Neutrosophic Decision Making Model for Investment Portfolios Selection and Optimizing based on Wide Variety of Investment Opportunities and Many Criteria in Market. Neutrosophic Systems with Applications DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Alias
Apparentées88
RésuméN-SPOTIS (Neutrosophic extension of SPOTIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Abdel-aziem, A. H., Mohamed, H. K., Abdelhafeez, A. in 2023. 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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ScholarGateComparer des méthodes: N-SPOTIS · BWM-BAYESIAN. Consulté le 2026-06-17 sur https://scholargate.app/fr/compare