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| Rough-DRSA× | Analytic Network Process (피드백 및 상호 의존성을 포함한 AHP)× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2001 | 1996 |
| 창시자≠ | Greco, S., Matarazzo, B., Słowiński, R. | Saaty, T. L. |
| 유형≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Weight_Subjective (pairwise comparison, supermatrix, network structure) |
| 원전≠ | Greco, S., Matarazzo, B., Słowiński, R. (2001). Rough sets theory for multicriteria decision analysis. European Journal of Operational Research DOI ↗ | Saaty, T. L. (1996). Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publications, Pittsburgh ISBN: 0-9620317-9-8 |
| 별칭 | — | — |
| 관련 | 8 | 8 |
| 요약≠ | ROUGH-DRSA (Rough-DRSA — Rough extension of DRSA) is a ranking multi-criteria decision-making (MCDM) method introduced by Greco, S., Matarazzo, B., Słowiński, R. in 2001. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | ANP (Analytic Network Process (AHP with feedback and interdependences)) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Saaty, T. L. in 1996. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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