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加法比率评估×贝叶斯BWM×
领域决策决策
方法族MCDMMCDM
起源年份20102020
提出者Zavadskas, E. K., Turskis, Z.Mohammadi, M., Rezaei, J.
类型Additive utility ratio (optimal reference row)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
开创性文献Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
别名
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摘要ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. 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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ScholarGate方法对比: ARAS · BWM-BAYESIAN. 于 2026-06-17 检索自 https://scholargate.app/zh/compare