Сравнение методов

	Основанный на данных многокритериальный анализ решений	МЕТОД РАНЖИРОВАНИЯ ПРЕДПОЧТЕНИЙ ДЛЯ ОЦЕНКИ ПРОГРЕССА PROMETHEE II	Метод простого аддитивного взвешивания	Метод упорядочения предпочтений на основе близости к идеальному решению
Область	Принятие решений	Принятие решений	Принятие решений	Принятие решений
Семейство	MCDM	MCDM	MCDM	MCDM
Год появления	2015	1986	1967	1981
Автор метода	Multiple authors	Brans, J. P., Vincke, Ph., Mareschal, B.	Fishburn, P. C.	Hwang, C. L., Yoon, K.
Тип	Learning-based criteria weighting and aggregation	Preference function (net flow)	Additive utility (linear)	Distance-based (compromise)
Основополагающий источник	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	Hwang, C. L., Yoon, K. (1981). Multiple Attribute Decision Making: Methods and Applications — A State-of-the-Art Survey. Lecture Notes in Economics and Mathematical Systems, Vol. 186, Springer-Verlag
Другие названия	Data-Driven MCDA	—	—	—
Связанные	5	8	8	8
Сводка	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.	TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Hwang, C. L., Yoon, K. in 1981. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.