Sammenlign metoder

	Datadrevet multi-kriterie analyse	VIKOR
Fagfelt	Beslutningstaking	Beslutningstaking
Familie	MCDM	MCDM
Opprinnelsesår	2015	1998
Opphavsperson	Multiple authors	Opricovic, S.
Type	Learning-based criteria weighting and aggregation	Compromise / aggregation-function based
Opprinnelig kilde	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	—
Relaterte	5	8
Sammendrag	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.