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Extensió lingüística probabilística de VIKOR×BWM bayesià×
CampPresa de decisionsPresa de decisions
FamíliaMCDMMCDM
Any d'origen20212020
Autor originalLi, P., Liu, J., Wei, C.Mohammadi, M., Rezaei, J.
TipusProbabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k})Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
Font seminalLi, P., Liu, J., Wei, C. (2021). An Improved PL-VIKOR Model for Risk Evaluation of Technological Innovation Projects with Probabilistic Linguistic Term Sets. International Journal of Fuzzy Systems DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
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Relacionats88
ResumPL-VIKOR (Probabilistic Linguistic extension of VIKOR) is a ranking multi-criteria decision-making (MCDM) method introduced by Li, P., Liu, J., Wei, C. in 2021. 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: PL-VIKOR · BWM-BAYESIAN. Recuperat el 2026-06-17 de https://scholargate.app/ca/compare