Comparer des méthodes

	Analyse décisionnelle multicritère basée sur les données	VIKOR
Domaine	Prise de décision	Prise de décision
Famille	MCDM	MCDM
Année d'origine	2015	1998
Auteur d'origine	Multiple authors	Opricovic, S.
Type	Learning-based criteria weighting and aggregation	Compromise / aggregation-function based
Source fondatrice	Греченко, Д. В. (2019). Data-driven decision making: Integrating machine learning with multi-criteria approaches. Computational Statistics & Data Analysis, 132, 127-143.	Opricovic, S. (1998). Multicriteria Optimization of Civil Engineering Systems. PhD Dissertation, Faculty of Civil Engineering, University of Belgrade
Alias	Data-Driven MCDA	—
Apparentées	5	8
Résumé	Data-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.