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| Data-Driven Multi-Criteria Decision Analysis× | ELECTRE I× | |
|---|---|---|
| Dziedzina | Podejmowanie decyzji | Podejmowanie decyzji |
| Rodzina | MCDM | MCDM |
| Rok powstania≠ | 2015 | 1968 |
| Twórca≠ | Multiple authors | Roy, B. |
| Typ≠ | Learning-based criteria weighting and aggregation | Concordance–discordance (crisp outranking) |
| Źródło pierwotne≠ | Греченко, Д. В. (2019). Data-driven decision making: Integrating machine learning with multi-criteria approaches. Computational Statistics & Data Analysis, 132, 127-143. link ↗ | Roy, B. (1968). Classement et choix en présence de points de vue multiples (la méthode ELECTRE). Revue Française d'Informatique et de Recherche Opérationnelle DOI ↗ |
| Inne nazwy≠ | Data-Driven MCDA | — |
| Pokrewne≠ | 5 | 8 |
| Podsumowanie≠ | 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. |
| ScholarGateZbiór danych ↗ |
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