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| 데이터 기반 다기준 의사결정 분석× | 다기준 최적화 및 타협 해법 (VIKOR)× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2015 | 1998 |
| 창시자≠ | Multiple authors | Opricovic, S. |
| 유형≠ | Learning-based criteria weighting and aggregation | Compromise / aggregation-function based |
| 원전≠ | Греченко, Д. В. (2019). Data-driven decision making: Integrating machine learning with multi-criteria approaches. Computational Statistics & Data Analysis, 132, 127-143. link ↗ | Opricovic, S. (1998). Multicriteria Optimization of Civil Engineering Systems. PhD Dissertation, Faculty of Civil Engineering, University of Belgrade link ↗ |
| 별칭≠ | Data-Driven MCDA | — |
| 관련≠ | 5 | 8 |
| 요약≠ | 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. | VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje (Multicriteria Optimisation and Compromise Solution)) is a ranking multi-criteria decision-making (MCDM) method introduced by Opricovic, S. in 1998. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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