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TOPSIS modificat basat en D-Nombres (Teoria de l'evidència de Deng)×BWM bayesià×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20162020
Autor originalFei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y.Mohammadi, M., Rezaei, J.
TipusD-Number ranking — D:Ω→[0,1] with Σ_{B⊆Ω} D(B) ≤ 1; incomplete evidence allowed (Deng 2012)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Font seminalFei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y. (2016). A Modified TOPSIS Method Based on D Numbers and Its Applications in Human Resources Selection. Mathematical Problems in Engineering link ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Àlies
Relacionats88
ResumD-TOPSIS (Modified TOPSIS based on D-Numbers (Deng Evidence Theory)) is a ranking multi-criteria decision-making (MCDM) method introduced by Fei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y. in 2016. 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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ScholarGateCompara mètodes: D-TOPSIS · BWM-BAYESIAN. Recuperat el 2026-06-18 de https://scholargate.app/ca/compare