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| COPRAS-IN× | 기준 제거 효과 기반 방법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2019 | 2021 |
| 창시자≠ | Şahin, R. | Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. |
| 유형≠ | Interval Neutrosophic ranking — INN: <[T_L,T_U],[I_L,I_U],[F_L,F_U]> with 0 ≤ T_U+I_U+F_U ≤ 3 | Removal-effect objective weighting (logarithmic utility) |
| 원전≠ | Şahin, R. (2019). COPRAS Method with Neutrosophic Sets. Fuzzy Multi-criteria Decision-Making Using Neutrosophic Sets, Studies in Fuzziness and Soft Computing, vol 369, Springer, Cham DOI ↗ | Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Informatica DOI ↗ |
| 별칭 | — | — |
| 관련≠ | 7 | 8 |
| 요약≠ | N-COPRAS (COPRAS-IN — COPRAS with Interval Neutrosophic Numbers (INN)) is a ranking multi-criteria decision-making (MCDM) method introduced by Şahin, R. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MEREC (MEthod based on the Removal Effects of Criteria) is a weight objective multi-criteria decision-making (MCDM) method introduced by Keshavarz Ghorabaee, M., Amiri, M., Zavadskas, E. K., Antucheviciene, J., Turskis, Z. in 2021. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGate데이터셋 ↗ |
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