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| Metodología ZF-LMAW de Logaritmo Difuso de Pesos Aditivos× | Extensión del número Z de TOPSIS× | |
|---|---|---|
| Campo | Toma de decisiones | Toma de decisiones |
| Familia | MCDM | MCDM |
| Año de origen≠ | 2022 | 2018 |
| Autor original≠ | Puška, A. Božanić, D. Nedeljković, M. Janošević, M. | Gardashova, L. A. |
| Tipo≠ | Logarithmic anti-ideal weighting under Z-number uncertainty with group aggregation | Z-Number outranking/ranking — Z-Number (Z = (A, B): restriction A, reliability B; both fuzzy) |
| Fuente seminal≠ | Puška, 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 ↗ | Gardashova, L. A. (2018). Z-Number Based TOPSIS Method in Multi-Criteria Decision Making. Advances in Intelligent Systems and Computing DOI ↗ |
| Alias | — | — |
| Relacionados | 8 | 8 |
| Resumen≠ | ZF-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. | Z-TOPSIS (Z-Number extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Gardashova, L. A. in 2018. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateConjunto de datos ↗ |
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