방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 스윙 가중치 부여(Swing Weighting)× | 적응형 표준화 구간 기반 대안 순위 기법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 1986 | 2024 |
| 창시자≠ | von Winterfeldt, D., Edwards, W. | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. |
| 유형≠ | Weight_Subjective (swing from worst to best, relative gain assessment) | Two-level standardization + ideal/anti-ideal utility (β-anchored) |
| 원전≠ | von Winterfeldt, D., Edwards, W. (1986). Decision Analysis and Behavioral Research. Cambridge University Press ISBN: 978-0521271073 | Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. (2024). A picture fuzzy CIMAS-ARTASI model for website performance analysis in human resource management. Applied Soft Computing DOI ↗ |
| 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. | ARTASI (Alternative Ranking Technique based on Adaptive Standardized Intervals) is a ranking multi-criteria decision-making (MCDM) method introduced by Kara, K., Yalçın, G. C., Kaygısız, E. G., Simic, V., Örnek, A. Ş., Pamucar, D. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate데이터셋 ↗ |
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