방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| AROMAN의 중성자 확장× | Criteria Correlation and Standard Deviation (CCSD) 가중치 결정 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2023 | 2010 |
| 창시자≠ | Bošković et al. | Wang, Y. M., Luo, Y. |
| 유형≠ | Neutrosophic outranking/ranking — Single-Valued Neutrosophic Set (SVNS: T, I, F; T,I,F ∈ [0,1], T+I+F ≤ 3) | Correlation-penalised standard-deviation weighting |
| 원전≠ | Bošković et al. (2023). Neutrosophic Alternative Ranking Order Method Accounting for two-step Normalization. IEEE Access link ↗ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ |
| 별칭 | — | — |
| 관련 | 8 | 8 |
| 요약≠ | N-AROMAN (Neutrosophic extension of AROMAN) is a ranking multi-criteria decision-making (MCDM) method introduced by Bošković et al. in 2023. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate데이터셋 ↗ |
|
|