ScholarGate
Assistente

Comparar métodos

Examine os métodos selecionados lado a lado; as linhas que diferem ficam destacadas.

Modified TOPSIS based on D-Numbers (Deng Evidence Theory)×Bayesian BWM×
ÁreaTomada de decisãoTomada de decisão
FamíliaMCDMMCDM
Ano de origem20162020
Autor originalFei, L., Hu, Y., Xiao, F., Chen, L., Deng, Y.Mohammadi, M., Rezaei, J.
TipoD-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
Fonte 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 ↗
Outros nomes
Relacionados88
ResumoD-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.
ScholarGateConjunto de dados
  1. v1
  2. 1 Fontes
  3. PUBLISHED
  1. v1
  2. 1 Fontes
  3. PUBLISHED

Ir para a pesquisa Baixar slides

ScholarGateComparar métodos: D-TOPSIS · BWM-BAYESIAN. Recuperado em 2026-06-18 de https://scholargate.app/pt/compare