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。

粗糙COPRAS×标准差与相关系数客观赋权法×
领域决策决策
方法族MCDMMCDM
起源年份20182010
提出者Pamučar, D. Božanić, D. Lukovac, V. Komazec, N.Wang, Y. M., Luo, Y.
类型Rough outranking/ranking — Rough number (lower approximation L, upper approximation U)Correlation-penalised standard-deviation weighting
开创性文献Pamučar, D., Božanić, D., Lukovac, V., Komazec, N. (2018). Normalized weighted geometric Bonferroni mean operator of interval rough numbers – application in interval rough DEMATEL-COPRAS model. Facta Universitatis Series: Mechanical Engineering DOI ↗Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗
别名
相关88
摘要ROUGH-COPRAS (Rough-COPRAS — Rough extension of COPRAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D. Božanić, D. Lukovac, V. Komazec, N. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. 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: ROUGH-COPRAS · CCSD. 于 2026-06-17 检索自 https://scholargate.app/zh/compare