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Fuzzy Logarithm Methodology of Additive Weights (TFN)×理想解への類似性による優先順位決定法×
分野意思決定意思決定
系統MCDMMCDM
提唱年2021 crisp; 2022 variant applicator1981
提唱者Božanić, D., Pamučar, D., Milić, A., Marinković, D., Komazec, N.Hwang, C. L., Yoon, K.
種類Triangular-fuzzy linguistic expert weighting with Bonferroni aggregation; logarithmic transform around an absolute anti-ideal pointDistance-based (compromise)
原典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 ↗
別名
関連88
概要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.
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  1. v1
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  3. PUBLISHED

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ScholarGate手法を比較: F-LMAW · TOPSIS. 2026-06-18に以下より取得 https://scholargate.app/ja/compare