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加权模糊对数方法 (TFN)×理想解相似优劣排序法×
领域决策决策
方法族MCDMMCDM
起源年份2021 crisp; 2022 variant applicator1981
提出者Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Hwang, C. L., Yoon, K.
类型Triangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointDistance-based (compromise)
开创性文献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 ↗Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag DOI ↗
别名
相关88
摘要F-LMAW (Fuzzy Logarithm Methodology of Additive Weights (TFN)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N. in 2021 crisp; 2022 variant applicator. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
ScholarGate数据集
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  1. v1
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  3. PUBLISHED

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ScholarGate方法对比: F-LMAW · TOPSIS. 于 2026-06-19 检索自 https://scholargate.app/zh/compare