Linganisha mbinu

	Uchambuzi wa Maamuzi wa Vigezo Vingi Unaendeshwa na Data	VIKOR
Nyanja	Ufanyaji Maamuzi	Ufanyaji Maamuzi
Familia	MCDM	MCDM
Mwaka wa asili	2015	1998
Mwanzilishi	Multiple authors	Opricovic, S.
Aina	Learning-based criteria weighting and aggregation	Compromise / aggregation-function based
Chanzo asilia	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
Majina mbadala	Data-Driven MCDA	—
Zinazohusiana	5	8
Muhtasari	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.