Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| ROUGH-MABAC× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| Область | Принятие решений | Принятие решений |
| Семейство | MCDM | MCDM |
| Год появления≠ | 2019 | 1995 |
| Автор метода≠ | Jia, F., Liu, Y., Wang, X. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Тип≠ | IF-Rough outranking/ranking — Intuitionistic Fuzzy Rough Number (membership μ, non-membership ν) | Statistical contrast intensity + correlation-based objective weighting |
| Основополагающий источник≠ | Jia, F., Liu, Y., Wang, X. (2019). An extended MABAC method for multi-criteria group decision making based on intuitionistic fuzzy rough numbers. Expert Systems with Applications DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Другие названия | — | — |
| Связанные | 8 | 8 |
| Сводка≠ | ROUGH-MABAC (Rough-MABAC — Rough extension of MABAC) is a ranking multi-criteria decision-making (MCDM) method introduced by Jia, F., Liu, Y., Wang, X. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CRITIC (CRiteria Importance Through Intercriteria Correlation) is a weight objective multi-criteria decision-making (MCDM) method introduced by Diakoulaki, D., Mavrotas, G., Papayannakis, L. in 1995. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateНабор данных ↗ |
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