MCDMRankingcrisp
基于双重规范化的多重聚合方法
DNMA（基于双重规范化的多重聚合方法）是廖虎、吴新在2020年提出的一种排序型多准则决策（MCDM）方法。它将备选方案在多个准则上评分的决策矩阵转化为结构化、可重现的结果。
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来源
- Liao, H., Wu, X. (2020). DNMA: A double normalization-based multiple aggregation method for multi-expert multi-criteria decision making. Omega DOI: 10.1016/j.omega.2019.04.001 ↗
如何引用本页
ScholarGate. (2026, June 2). Double Normalization-Based Multiple Aggregation. ScholarGate. https://scholargate.app/zh/decision-making/dnma
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.
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- 准则重要性通过准则间相关性 (CRITIC)决策↔ compare