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| Metodologia del Logaritmo Fuzzy dei Pesi Additivi con Z-Number× | Estensione Fuzzy di MABAC× | |
|---|---|---|
| Campo | Processo decisionale | Processo decisionale |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 2022 | 2000 |
| Ideatore≠ | Puška, A. Božanić, D. Nedeljković, M. Janošević, M. | Chen, C. T. |
| Tipo≠ | Logarithmic anti-ideal weighting under Z-number uncertainty with group aggregation | Fuzzy outranking/ranking — Triangular Fuzzy Number (TFN: l, m, u) |
| Fonte seminale≠ | 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 ↗ | Chen, C. T. (2000). Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems DOI ↗ |
| Alias | — | — |
| Correlati≠ | 8 | 2 |
| Sintesi≠ | 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. | 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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