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Metodoloģija Z-skaitļu fuzzy logaritmiskajiem summētajiem svariem×Z-skaitļu preferenču ranžēšanas organizācijas metode (II)×
NozareLēmumu pieņemšanaLēmumu pieņemšana
SaimeMCDMMCDM
Izcelsmes gads20222020
AutorsPuška, A. Božanić, D. Nedeljković, M. Janošević, M.Mahammad Nuriyev (Khazar University, Baku, Azerbaijan); builds on Brans-Vincke 1985 PROMETHEE
TipsLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationOutranking method with Z-number uncertainty (PROMETHEE II — full ranking)
PirmavotsPuška, 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 ↗Nuriyev, M. (2020). Z-numbers Based Hybrid MCDM Approach for Energy Resources Ranking and Selection. International Journal of Energy Economics and Policy DOI ↗
Citi nosaukumi
Saistītās88
KopsavilkumsZF-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-PROMETHEE (Z-Number Preference Ranking Organization Method (II)) is a ranking multi-criteria decision-making (MCDM) method introduced by Mahammad Nuriyev (Khazar University, Baku, Azerbaijan); builds on Brans-Vincke 1985 PROMETHEE in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGateSalīdzināt metodes: ZF-LMAW · Z-PROMETHEE. Izgūts 2026-06-18 no https://scholargate.app/lv/compare