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	Analisis Keputusan Pelbagai Kriteria Berteraskan Data	Pengoptimuman Pelbagai Kriteria dan Penyelesaian Kompromi
Bidang	Pembuatan Keputusan	Pembuatan Keputusan
Keluarga	MCDM	MCDM
Tahun asal	2015	1998
Pengasas	Multiple authors	Opricovic, S.
Jenis	Learning-based criteria weighting and aggregation	Compromise / aggregation-function based
Sumber perintis	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	—
Berkaitan	5	8
Ringkasan	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.