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| Rough-ARAS× | CRiteria Importance Through Intercriteria Correlation× | |
|---|---|---|
| Bidang | Pembuatan Keputusan | Pembuatan Keputusan |
| Keluarga | MCDM | MCDM |
| Tahun asal≠ | 2021 | 1995 |
| Pengasas≠ | Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Jenis≠ | Rough outranking/ranking — Rough number (lower approximation L, upper approximation U) | Statistical contrast intensity + correlation-based objective weighting |
| Sumber perintis≠ | Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. (2021). The Interval Rough Number of the Extended ARAS Method for Solving Multi-Criteria Group Decision Making. 2021 International Conference on Decision Aid Sciences and Application (DASA) DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Alias | — | — |
| Berkaitan | 8 | 8 |
| Ringkasan≠ | ROUGH-ARAS (Rough-ARAS — Rough extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Daoud Ben Amor, W., Moalla Frikha, H., Martínez López, L. in 2021. 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. |
| ScholarGateSet data ↗ |
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