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Esamina i metodi selezionati fianco a fianco; le righe che differiscono sono evidenziate.
| Estensione linguistica probabilistica di TOPSIS× | CILOS× | |
|---|---|---|
| Campo | Processo decisionale | Processo decisionale |
| Famiglia | MCDM | MCDM |
| Anno di origine≠ | 2019 | 2016 |
| Ideatore≠ | Lu, J., Wei, C. | Zavadskas, E. K., Podvezko, V. |
| Tipo≠ | Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Fonte seminale≠ | Lu, J., Wei, C. (2019). TOPSIS Method for Probabilistic Linguistic MAGDM with Entropy Weight and Its Application to Supplier Selection of New Agricultural Machinery Products. Entropy DOI ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| Alias | — | — |
| Correlati | 8 | 8 |
| Sintesi≠ | PL-TOPSIS (Probabilistic Linguistic extension of TOPSIS) is a ranking multi-criteria decision-making (MCDM) method introduced by Lu, J., Wei, C. in 2019. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | CILOS (Criterion Impact LOSs objective weighting method) is a weight objective multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Podvezko, V. in 2016. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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