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| 상대적 가치 거리 기반 의사결정× | 섀넌 엔트로피 가중치 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2015 | 1948 |
| 창시자≠ | Shyur, H. J., Yin, L., Shih, H. S., Cheng, C. B. | Shannon, C. E. |
| 유형≠ | Prospect-theory value function with reference-point separation | Information-theoretic objective weighting (Shannon entropy) |
| 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 ↗ | Shannon, C. E. (1948). A mathematical theory of communication. Bell System Technical Journal 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. | ENTROPY (Shannon Entropy Weighting Method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Shannon, C. E. in 1948. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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