Linganisha mbinu

	Uchambuzi wa Maamuzi wa Vigezo Vingi Unaendeshwa na Data	ELECTRE I
Nyanja	Ufanyaji Maamuzi	Ufanyaji Maamuzi
Familia	MCDM	MCDM
Mwaka wa asili	2015	1968
Mwanzilishi	Multiple authors	Roy, B.
Aina	Learning-based criteria weighting and aggregation	Concordance–discordance (crisp outranking)
Chanzo asilia	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
Majina mbadala	Data-Driven MCDA	—
Zinazohusiana	5	8
Muhtasari	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.