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| FF-CODAS의 페르마 확장× | Criteria Correlation and Standard Deviation (CCSD) 가중치 결정 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2020 | 2010 |
| 창시자≠ | Senapati, T. Yager, R. R. | Wang, Y. M., Luo, Y. |
| 유형≠ | Fermatean outranking/ranking — Fermatean Fuzzy Set (FFS: μ, ν; μ³+ν³ ≤ 1) | Correlation-penalised standard-deviation weighting |
| 원전≠ | Senapati, T., Yager, R. R. (2020). Fermatean fuzzy sets. Journal of Ambient Intelligence and Humanized Computing 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≠ | FF-CODAS (Fermatean extension of FF-CODAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Senapati, T. Yager, R. R. in 2020. 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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