Compară metode

	Analiza Decizională Multicriterială Bazată pe Date	ELECTRE I	PROMETHEE II	Tehnică de Ordine de Preferință prin Similaritate cu Soluția Ideală
Domeniu	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor	Luarea deciziilor
Familie	MCDM	MCDM	MCDM	MCDM
Anul apariției	2015	1968	1986	1981
Autorul original	Multiple authors	Roy, B.	Brans, J. P., Vincke, Ph., Mareschal, B.	Hwang, C. L., Yoon, K.
Tip	Learning-based criteria weighting and aggregation	Concordance–discordance (crisp outranking)	Preference function (net flow)	Distance-based (compromise)
Sursa seminală	Греченко, Д. В. (2019). Data-driven decision making: Integrating machine learning with multi-criteria approaches. Computational Statistics & Data Analysis, 132, 127-143.	Roy, B. (1968). Classement et choix en présence de points de vue multiples (la méthode ELECTRE). Revue Française d'Informatique et de Recherche Opérationnelle	Brans, J. P., Vincke, Ph., Mareschal, B. (1986). How to select and how to rank projects: The PROMETHEE method. European Journal of Operational 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
Denumiri alternative	Data-Driven MCDA	—	—	—
Înrudite	5	8	8	8
Rezumat	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.	ELECTRE (ELECTRE I — ELimination Et Choix Traduisant la REalité) is a outranking multi-criteria decision-making (MCDM) method introduced by Roy, B. in 1968. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result.	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.	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.