MCDMRankingintuitionistic
直觉模糊多属性效用理论（基于IFWA的加性效用）
IF-MAUT（直觉模糊多属性效用理论（基于IFWA的加性效用））是由Atanassov, K. T.于1986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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来源
- Atanassov, K. T. (1986). Intuitionistic fuzzy sets. Fuzzy Sets and Systems DOI: 10.1016/S0165-0114(86)80034-3 ↗
如何引用本页
ScholarGate. (2026, June 2). Intuitionistic Fuzzy Multi-Attribute Utility Theory (IFWA-based additive utility). ScholarGate. https://scholargate.app/zh/decision-making/if-maut
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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- 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