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| 스윙 가중치 부여(Swing Weighting)× | 조합 거리 기반 평가× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 1986 | 2016 |
| 창시자≠ | von Winterfeldt, D., Edwards, W. | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. |
| 유형≠ | Weight_Subjective (swing from worst to best, relative gain assessment) | Distance from anti-ideal (Euclidean + Taxicab) |
| 원전≠ | von Winterfeldt, D., Edwards, W. (1986). Decision Analysis and Behavioral Research. Cambridge University Press ISBN: 978-0521271073 | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗ |
| 별칭 | — | — |
| 관련 | 8 | 8 |
| 요약≠ | SWING (Swing Weighting — importance weights derived from worst-to-best swing utility gains) is a weight subjective multi-criteria decision-making (MCDM) method introduced by von Winterfeldt, D., Edwards, W. in 1986. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate데이터셋 ↗ |
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