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| 상대적 가치 거리 기반 의사결정× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2015 | 1995 |
| 창시자≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| 유형≠ | Prospect-theory value function with reference-point separation | Statistical contrast intensity + correlation-based objective weighting |
| 원전≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. (2015). A multiple criteria decision making method based on relative value distances. Foundations of Computing and Decision Sciences DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| 별칭 | — | — |
| 관련≠ | 4 | 8 |
| 요약≠ | ERVD (Election based on Relative Value Distances) is a ranking multi-criteria decision-making (MCDM) method introduced by Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. in 2015. 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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