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Metodologia del Logaritmo Fuzzy dei Pesi Additivi con Z-Number×Fuzzy TOPSIS (Chen-Hwang 1992)×
CampoProcesso decisionaleProcesso decisionale
FamigliaMCDMMCDM
Anno di origine20221992
IdeatorePuška, A. Božanić, D. Nedeljković, M. Janošević, M.Chen, S.-J., Hwang, C.-L.
TipoLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationDistance-based ranking — Trapezoidal Fuzzy Number (TrFN: a, b, c, d) with Zadeh max-min similarity
Fonte seminalePuška, A., Božanić, D., Nedeljković, M., Janošević, M. (2022). Green Supplier Selection in an Uncertain Environment in Agriculture Using a Hybrid MCDM Model: Z-Numbers–Fuzzy LMAW–Fuzzy CRADIS Model. Axioms DOI ↗Chen, S.-J., Hwang, C.-L. (1992). Fuzzy Multiple Attribute Decision Making: Methods and Applications. Lecture Notes in Economics and Mathematical Systems, Vol. 375, Springer-Verlag, Berlin DOI ↗
Alias
Correlati82
SintesiZF-LMAW (Z-Number Fuzzy Logarithm Methodology of Additive Weights) is a weighting multi-criteria decision-making (MCDM) method introduced by Puška, A. Božanić, D. Nedeljković, M. Janošević, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.FUZZY-TOPSIS (Fuzzy TOPSIS (Chen-Hwang 1992) — Trapezoidal fuzzy TOPSIS with Zadeh sup-min similarity distance) is a ranking multi-criteria decision-making (MCDM) method introduced by Chen, S.-J., Hwang, C.-L. in 1992. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateConfronta i metodi: ZF-LMAW · FUZZY-TOPSIS. Consultato il 2026-06-17 da https://scholargate.app/it/compare