MCDMRankingInterval rough
区间粗糙CODAS (区间粗糙数的多准则群决策评估法)
IR-CODAS (区间粗糙CODAS (区间粗糙数的多准则群决策评估法)) 是Cherif, M. R. Frikha, H. M. 于2021年提出的一种排序多准则决策(MCDM)方法。它将替代方案在多个准则上的评分决策矩阵转化为结构化、可复现的结果。
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来源
- Cherif, M. R., Frikha, H. M. (2021). An extension of the CODAS method based on interval rough numbers for multi-criteria group decision making. Multiple Criteria Decision Making DOI: 10.22367/mcdm.2021.16.02 ↗
如何引用本页
ScholarGate. (2026, June 2). Interval Rough CODAS (Combinative Distance-based Assessment with Interval Rough Numbers for MCGDM). ScholarGate. https://scholargate.app/zh/decision-making/ir-codas
Which method?
Set this method beside its closest kin and read them side by side — the library lays the books on the table; the choice is yours.
- 组合距离评估法决策↔ compare
- 模糊CODAS决策↔ compare
- 直觉模糊CODAS-SORT（通过欧几里得+汉明相对评估进行排序）决策↔ compare
- 区间值直觉模糊CODAS-SORT（基于欧氏距离+汉明距离的相对评估排序法）决策↔ compare