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| Estensione linguistica probabilistica di TODIM× | Importanza dei Criteri Attraverso la Correlazione Intercriteriale× | |
|---|---|---|
| Campo | Processo decisionale | Processo decisionale |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 2017 | 1995 |
| Ideatore≠ | Liu, P., Teng, F. | Diakoulaki, D., Mavrotas, G., Papayannakis, L. |
| Tipo≠ | Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) | Statistical contrast intensity + correlation-based objective weighting |
| Fonte seminale≠ | Liu, P., Teng, F. (2017). Probabilistic linguistic TODIM approach for multiple attribute decision-making. Granular Computing DOI ↗ | Diakoulaki, D., Mavrotas, G., Papayannakis, L. (1995). Determining objective weights in multiple criteria problems: The CRITIC method. Computers & Operations Research DOI ↗ |
| Alias | — | — |
| Correlati | 8 | 8 |
| Sintesi≠ | PL-TODIM (Probabilistic Linguistic extension of TODIM) is a ranking multi-criteria decision-making (MCDM) method introduced by Liu, P., Teng, F. in 2017. 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. |
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