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| 조합 거리 기반 평가× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2016 | 1995 |
| 창시자≠ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| 유형≠ | Distance from anti-ideal (Euclidean + Taxicab) | Statistical contrast intensity + correlation-based objective weighting |
| 원전≠ | Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research link ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| 별칭 | — | — |
| 관련 | 8 | 8 |
| 요약≠ | CODAS (Combinative Distance-Based Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Zavadskas, E. K., Turskis, Z., Antucheviciene, J. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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