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Dátami riadená multi-kritériová analýza rozhodovania×VIKOR×
OdborRozhodovanieRozhodovanie
RodinaMCDMMCDM
Rok vzniku20151998
TvorcaMultiple authorsOpricovic, S.
TypLearning-based criteria weighting and aggregationCompromise / aggregation-function based
Pôvodný zdrojГреченко, Д. В. (2019). Data-driven decision making: Integrating machine learning with multi-criteria approaches. Computational Statistics & Data Analysis, 132, 127-143. link ↗Opricovic, S. (1998). Multicriteria Optimization of Civil Engineering Systems. PhD Dissertation, Faculty of Civil Engineering, University of Belgrade link ↗
Ďalšie názvyData-Driven MCDA
Príbuzné58
ZhrnutieData-Driven MCDA is a hybrid framework that integrates machine learning and statistical learning into traditional multi-criteria decision analysis. Instead of eliciting weights from expert judgment, it learns criteria importance from historical decision data, enabling more scalable and empirically grounded decision support.VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje (Multicriteria Optimisation and Compromise Solution)) is a ranking multi-criteria decision-making (MCDM) method introduced by Opricovic, S. in 1998. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.
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ScholarGatePorovnať metódy: Data-Driven MCDA · VIKOR. Získané 2026-06-15 z https://scholargate.app/sk/compare