방법 비교
선택한 방법을 나란히 검토하세요. 서로 다른 행은 강조 표시됩니다.
| L2T-CODAS의 언어적 확장× | Criteria Correlation and Standard Deviation (CCSD) 가중치 결정 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2019 | 2010 |
| 창시자≠ | He, Y., Wei, G., Chen, X., Zhao, J. | Wang, Y. M., Luo, Y. |
| 유형≠ | Linguistic outranking/ranking — 2-Tuple Linguistic Variable (2TL: (s_i, α)) | Correlation-penalised standard-deviation weighting |
| 원전≠ | He, Y., Wei, G., Chen, X., Zhao, J. (2019). CODAS method for Pythagorean 2-tuple linguistic multiple attribute group decision making. Journal of Intelligent & Fuzzy 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≠ | L2T-CODAS (Linguistic extension of L2T-CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by He, Y., Wei, G., Chen, X., Zhao, J. in 2019. 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 ↗ |
|
|