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| CODAS의 중성 확장× | Criteria Correlation and Standard Deviation (CCSD) 가중치 결정 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2018 | 2010 |
| 창시자≠ | Pamučar, D., Badi, I., Sanja, K., Obradović, R. — NOTE: paper uses LNN (Linguistic NS), not SVNN. SVNN CODAS originator unknown. | 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≠ | (). N-CODAS — SVN extension; "Yüksel 2020" anchor UNCONFIRMED per LVR. 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-CODAS (Neutrosophic extension of CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Pamučar, D., Badi, I., Sanja, K., Obradović, R. — NOTE: paper uses LNN (Linguistic NS), not SVNN. SVNN CODAS originator unknown. in 2018. 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. |
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