ScholarGate
Assistant

Comparer des méthodes

Examinez les méthodes sélectionnées côte à côte ; les lignes qui diffèrent sont mises en évidence.

Méthodologie des Poids Additifs par Logarithme Flou Z-Nombre×Méthode de classement par préférence Z-Number (II)×
DomainePrise de décisionPrise de décision
FamilleMCDMMCDM
Année d'origine20222020
Auteur d'originePuška, A. Božanić, D. Nedeljković, M. Janošević, M.Mahammad Nuriyev (Khazar University, Baku, Azerbaijan); builds on Brans-Vincke 1985 PROMETHEE
TypeLogarithmic anti-ideal weighting under Z-number uncertainty with group aggregationOutranking method with Z-number uncertainty (PROMETHEE II — full ranking)
Source fondatricePuška, 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 ↗
Alias
Apparentées88
RésuméZF-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.
ScholarGateJeu de données
  1. v1
  2. 1 Sources
  3. PUBLISHED
  1. v1
  2. 1 Sources
  3. PUBLISHED

Aller à la recherche Télécharger les diapositives

ScholarGateComparer des méthodes: ZF-LMAW · Z-PROMETHEE. Consulté le 2026-06-18 sur https://scholargate.app/fr/compare