MCDMRankingFuzzy TFN
模糊多属性效用效用 (Fuzzy MAUT) — MAUT 的模糊扩展
FUZZY-MAUT (模糊多属性效用效用 — MAUT 的模糊扩展) 是由陈朝宗 (Chen, C. T.) 于 2000 年提出的一种排序多准则决策 (MCDM) 方法。它将包含多个准则评分的备选方案决策矩阵转化为结构化、可复现的结果。
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来源
- Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems DOI: 10.1016/S0165-0114(97)00377-1 ↗
如何引用本页
ScholarGate. (2026, June 2). Fuzzy MAUT — Fuzzy extension of MAUT. ScholarGate. https://scholargate.app/zh/decision-making/fuzzy-maut
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