ScholarGate
助手

方法对比

并排查看您选择的方法;存在差异的行会高亮显示。

衡量备选方案并根据折衷解进行排序×贝叶斯BWM×
领域决策决策
方法族MCDMMCDM
起源年份20202020
提出者Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P.Mohammadi, M., Rezaei, J.
类型Utility function (ideal + anti-ideal reference)Hierarchical Dirichlet posterior over weights via MCMC (JAGS) — group decision
开创性文献Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗Mohammadi, M., Rezaei, J. (2020). Bayesian best-worst method: A probabilistic group decision making model. Omega DOI ↗
别名
相关88
摘要MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. 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.
ScholarGate数据集
  1. v1
  2. 1 来源
  3. PUBLISHED
  1. v1
  2. 1 来源
  3. PUBLISHED

前往搜索 下载幻灯片

ScholarGate方法对比: MARCOS · BWM-BAYESIAN. 于 2026-06-18 检索自 https://scholargate.app/zh/compare