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加权模糊对数方法 (TFN)

加权模糊对数方法 (F-LMAW, TFN) 是一种权重主观多准则决策 (MCDM) 方法,由 Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. 于 2021 年(清晰值)和 2022 年(变体应用)提出。它将包含备选方案在多个准则上得分的决策矩阵转化为结构化、可复现的结果。

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来源

  1. Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. (2022). Modification of the Logarithm Methodology of Additive Weights (LMAW) by a Triangular Fuzzy Number and Its Application in Multi-Criteria Decision Making. Axioms DOI: 10.3390/axioms11030089

如何引用本页

ScholarGate. (2026, June 2). Fuzzy Logarithm Methodology of Additive Weights (TFN). ScholarGate. https://scholargate.app/zh/decision-making/f-lmaw

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ScholarGateF-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)). 于 2026-06-15 检索自 https://scholargate.app/zh/decision-making/f-lmaw · 数据集: https://doi.org/10.5281/zenodo.20539026