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Weighting
ZF-LMAW - Z-Number Fuzzy Logarithm Methodology of Additive Weights
Logarithmic anti-ideal weighting under Z-number uncertainty with group aggregation
Puška, A., Božanić, D., Nedeljković, M., Janošević, M.2022doi:10.3390/axioms11090427 ↗
Overview
Supply both the priority and reliability labels, an expert-defined AIP, and explicit Bonferroni p,q. The kernel never invents missing labels or an anti-ideal point.
- Data
- Z-Number
- Weights
- Derived internally, no weight source needed
Edge cases and pitfalls
The priority scale contains E, not M.
EH is not a Table 2 label; it is accepted only for the documented Table 3 source import.
The paper does not publish its numeric AIP or p,q values.
Works with
Its derived weights can feed
How to cite
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. https://doi.org/10.3390/axioms11090427
System ID, as it appears in reports and the API
ZF-LMAW