MCDMRankingrough
ROUGH-MARCOS — MARCOS 的粗糙扩展
ROUGH-MARCOS（ROUGH-MARCOS — MARCOS 的粗糙扩展）是由 Matić, B. Marinković, M. Jovanović, S. Sremac, S. Stević, Ž. 于 2022 年提出的一种排序多标准决策（MCDM）方法。它将评分多个标准的备选方案的决策矩阵转化为结构化、可复现的结果。
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Method map
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来源
- Matić, B., Marinković, M., Jovanović, S., Sremac, S., Stević, Ž. (2022). Intelligent Novel IMF D-SWARA—Rough MARCOS Algorithm for Selection Construction Machinery for Sustainable Construction of Road Infrastructure. Buildings DOI: 10.3390/buildings12071059 ↗
如何引用本页
ScholarGate. (2026, June 2). Rough-MARCOS — Rough extension of MARCOS. ScholarGate. https://scholargate.app/zh/decision-making/rough-marcos
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.
- 层次分析法决策↔ compare
- Analytic Network Process (ANP，具有反馈和相互依赖性的AHP)决策↔ compare
- 最佳-最差法 (Best-Worst Method)决策↔ compare
- 贝叶斯BWM决策↔ compare
- 标准差与相关系数客观赋权法决策↔ compare
- 标准差法 (Criterion Impact LOSs objective weighting method)决策↔ compare
- CIMAS (Criterion Impact MeAsurement System)决策↔ compare
- 准则重要性通过准则间相关性 (CRITIC)决策↔ compare