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| Logarithmic Normalization× | 비율 분석을 통한 다목적 최적화× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2008 | 2006 |
| 창시자≠ | Zavadskas, E. K., Turskis, Z. | Brauers, W. K. M., Zavadskas, E. K. |
| 유형≠ | Normalization (logarithmic, multiplicative) | Ratio system + reference point (vector normalisation) |
| 원전≠ | Zavadskas, E. K., Turskis, Z. (2008). A new logarithmic normalization method in games theory. Informatica DOI ↗ | Brauers, W. K. M., Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition economy. Control and Cybernetics link ↗ |
| 별칭 | — | — |
| 관련≠ | 2 | 8 |
| 요약≠ | LOGARITHMIC-NORMALIZATION (Logarithmic Normalization — log-ratio column normalisation for multiplicative aggregation contexts) is a normalization multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2008. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MOORA (Multi-Objective Optimisation by Ratio Analysis) is a ranking multi-criteria decision-making (MCDM) method introduced by Brauers, W. K. M., Zavadskas, E. K. in 2006. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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