MCDMRankingBipolar fuzzy
MARCOS 的双极模糊扩展
BF-MARCOS（MARCOS 的双极模糊扩展）是由 Stević 等人于 2020 年推出的一种排序多准则决策 (MCDM) 方法。它将评估多个准则的方案决策矩阵转化为结构化、可复现的结果。
阅读完整方法
仅限会员
登录使用免费账户登录即可阅读本节。
Method map
The neighbourhood of related methods — select a node to explore.
来源
- Stević et al. (2020). Bipolar Fuzzy Measurement of Alternatives and Ranking according to Compromise Solution. Computers & Industrial Engineering link ↗
如何引用本页
ScholarGate. (2026, June 2). Bipolar extension of MARCOS. ScholarGate. https://scholargate.app/zh/decision-making/bf-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