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| LOgarithmic DEcomposition of Criteria Importance× | 절충적 결합 해법× | |
|---|---|---|
| 분야 | 의사결정 | 의사결정 |
| 계열 | MCDM | MCDM |
| 기원 연도≠ | 2024 | 2019 |
| 창시자≠ | Pala, O. | Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. |
| 유형≠ | Objective weighting via logarithmic decomposition | Aggregated exponential comparison (WSM + WPM combination) |
| 원전≠ | Pala, O. (2024). Assessment of the social progress on European Union by logarithmic decomposition of criteria importance. Expert Systems With Applications DOI ↗ | Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. (2019). A combined compromise solution (COCOSO) method for multi-criteria decision-making problems. Management Decision DOI ↗ |
| 별칭 | — | — |
| 관련 | 8 | 8 |
| 요약≠ | LODECI (LOgarithmic DEcomposition of Criteria Importance) is a weight objective multi-criteria decision-making (MCDM) method introduced by Pala, O. in 2024. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COCOSO (Combined Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Yazdani, M., Zarate, P., Zavadskas, E. K., Turskis, Z. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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