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Dual Hesitant Fuzzy-udvidelse af TOPSIS×Bayesian BWM×
FagområdeBeslutningstagningBeslutningstagning
FamilieMCDMMCDM
Oprindelsesår20202020
OphavspersonWang, R., Li, W., Zhang, T., Han, Q.Mohammadi, M., Rezaei, J.
TypeDual Hesitant outranking/ranking — Dual Hesitant Fuzzy Element (DHFE: h(x) membership set, g(x) non-membership set)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Oprindelig kildeWang, R., Li, W., Zhang, T., Han, Q. (2020). New Distance Measures for Dual Hesitant Fuzzy Sets and Their Application to Multiple Attribute Decision Making. Symmetry DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
Aliasser
Relaterede88
ResuméDHF-TOPSIS (Dual Hesitant Fuzzy extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Wang, R., Li, W., Zhang, T., Han, Q. 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.
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ScholarGateSammenlign metoder: DHF-TOPSIS · BWM-BAYESIAN. Hentet 2026-06-18 fra https://scholargate.app/da/compare