방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| 대안 순위를 위한 면적의 크기× | Criteria Correlation and Standard Deviation (CCSD) 가중치 결정 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2022 | 2010 |
| 창시자≠ | Gligorić, M., Gligorić, Z., Lutovac, S., Negovanović, M., Lugijevskij, R. | Wang, Y. M., Luo, Y. |
| 유형≠ | Area-magnitude (integral) based | Correlation-penalised standard-deviation weighting |
| 원전≠ | Gligorić, M., Gligorić, Z., Lutovac, S., Negovanović, M., Lugijevskij, R. (2022). Novel hybrid MPSI-MARA decision-making model for support system selection in an underground mine. Systems DOI ↗ | 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≠ | MARA (Magnitude of the Area for the Ranking of Alternatives) is a ranking multi-criteria decision-making (MCDM) method introduced by Gligorić, M., Gligorić, Z., Lutovac, S., Negovanović, M., Lugijevskij, R. in 2022. 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 ↗ |
|
|