So sánh phương pháp

	Phân tích Quyết định Đa Tiêu Chí Hướng Dữ Liệu	PROMETHEE II	Simple Additive Weighting
Lĩnh vực	Ra quyết định	Ra quyết định	Ra quyết định
Họ	MCDM	MCDM	MCDM
Năm ra đời	2015	1986	1967
Người khởi xướng	Multiple authors	Brans, J. P., Vincke, Ph., Mareschal, B.	Fishburn, P. C.
Loại	Learning-based criteria weighting and aggregation	Preference function (net flow)	Additive utility (linear)
Công trình gốc	Греченко, Д. В. (2019). Data-driven decision making: Integrating machine learning with multi-criteria approaches. Computational Statistics & Data Analysis, 132, 127-143.	Brans, J. P., Vincke, Ph., Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational Research	Fishburn, P. C. (1967). Additive utilities with incomplete product sets: Application to priorities and assignments. Operations Research
Tên gọi khác	Data-Driven MCDA	—	—
Liên quan	5	8	8
Tóm tắt	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.	PROMETHEE (PROMETHEE II — Preference Ranking Organisation METHod for Enrichment of Evaluations) is a outranking multi-criteria decision-making (MCDM) method introduced by Brans, J. P., Vincke, Ph., Mareschal, B. in 1986. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	SAW (Simple Additive Weighting) is a ranking multi-criteria decision-making (MCDM) method introduced by Fishburn, P. C. in 1967. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.