Compara mètodes

	Anàlisi de Decisions Multicriteri Basada en Dades	PROMETHEE II	Simple Additive Weighting	Tècnica per a l'Ordre de Preferència per Similitud a la Solució Ideal
Camp	Presa de decisions	Presa de decisions	Presa de decisions	Presa de decisions
Família	MCDM	MCDM	MCDM	MCDM
Any d'origen	2015	1986	1967	1981
Autor original	Multiple authors	Brans, J. P., Vincke, Ph., Mareschal, B.	Fishburn, P. C.	Hwang, C. L., Yoon, K.
Tipus	Learning-based criteria weighting and aggregation	Preference function (net flow)	Additive utility (linear)	Distance-based (compromise)
Font seminal	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
Àlies	Data-Driven MCDA	—	—	—
Relacionats	5	8	8	8
Resum	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.