ScholarGate
助手
MCDMRankinghesitant

DHF-EDAS (Dual Hesitant Fuzzy extension of EDAS) 是一种排序多标准决策 (MCDM) 方法,由 Ning, B., Lin, R., Wei, G., Chen, X. 于 2023 年提出。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。

实际决策需要权衡多个相互冲突的标准,这些标准在不同尺度上进行测量。DHF-EDAS 提供了一个透明的、分步的程序,将这些标准组合成一个可辩护的结果,而不是仅仅依赖直觉。

用 DecisionMind 应用即将推出视频即将推出Download slides

阅读完整方法

仅限会员

使用免费账户登录即可阅读本节。

登录

Method map

The neighbourhood of related methods — select a node to explore.

来源

  1. Ning, B., Lin, R., Wei, G., Chen, X. (2023). EDAS method for multiple attribute group decision making with probabilistic dual hesitant fuzzy information and its application to suppliers selection. Technological and Economic Development of Economy DOI: 10.3846/tede.2023.17589

如何引用本页

ScholarGate. (2026, June 2). Dual Hesitant Fuzzy extension of EDAS. ScholarGate. https://scholargate.app/zh/decision-making/dhf-edas

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.

Compare side by side
ScholarGateDHF-EDAS (Dual Hesitant Fuzzy extension of EDAS). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/dhf-edas · 数据集: https://doi.org/10.5281/zenodo.20539026