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贝叶斯BWM×自动成对线性排序组合×
领域决策决策
方法族MCDMMCDM
起源年份20202020
提出者Mohammadi, M., Rezaei, J.Konstantinos, N., Xenakis, A., Kehagias, A.
类型Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decisionPairwise dominance aggregation (automatic combination)
开创性文献Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research link ↗
别名
相关88
摘要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.APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
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  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

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ScholarGate方法对比: BWM-BAYESIAN · APLOCO. 于 2026-06-17 检索自 https://scholargate.app/zh/compare