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Metodología ZF-LMAW de Logaritmo Difuso de Pesos Aditivos×MABAC Difuso×
CampoToma de decisionesToma de decisiones
FamiliaMCDMMCDM
Año de origen20222000
Autor originalPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Chen, C. T.
TipoLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationFuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u)
Fuente seminalPuška, 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, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems DOI ↗
Alias
Relacionados82
ResumenZF-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-MABAC (Fuzzy MABAC — Fuzzy extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Chen, C. T. in 2000. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateComparar métodos: ZF-LMAW · FUZZY-MABAC. Recuperado el 2026-06-17 de https://scholargate.app/es/compare