Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Extensia lingvistică probabilistică a TODIM× | Metoda de ponderare obiectivă CILOS (Criterion Impact LOSs)× | |
|---|---|---|
| Domeniu | Luarea deciziilor | Luarea deciziilor |
| Familie | MCDM | MCDM |
| Anul apariției≠ | 2017 | 2016 |
| Autorul original≠ | Liu, P., Teng, F. | Zavadskas, E. K., Podvezko, V. |
| Tip≠ | Probabilistic Linguistic outranking/ranking — Probabilistic Linguistic Term Set (PLTS: {L_k|p_k}) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Sursa seminală≠ | Liu, P., Teng, F. (2017). Probabilistic linguistic TODIM approach for multiple attribute decision-making. Granular Computing DOI ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| Denumiri alternative | — | — |
| Înrudite | 8 | 8 |
| Rezumat≠ | 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. | 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. |
| ScholarGateSet de date ↗ |
|
|