Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| Nenoteikta izplūdusī MARCOS metode× | CILOS× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2020 crisp; 2023 variant applicator | 2016 |
| Autors≠ | Li, G., Geng, X., Yuan, Y. | Zavadskas, E. K., Podvezko, V. |
| Tips≠ | Hesitant Fuzzy compromise ranking — MARCOS extended via Hesitant Fuzzy Elements (HFE) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Pirmavots≠ | Li, G., Geng, X., Yuan, Y. (2023). An integrated MCDM method based on hesitant fuzzy MARCOS for supplier evaluation under sustainability requirements. Journal of Intelligent & Fuzzy Systems link ↗ | Zavadskas, E. K., Podvezko, V. (2016). Integrated Determination of Objective Criteria Weights in MCDM. International Journal of Information Technology & Decision Making DOI ↗ |
| Citi nosaukumi | — | — |
| Saistītās | 8 | 8 |
| Kopsavilkums≠ | HF-MARCOS (Hesitant Fuzzy MARCOS) is a ranking multi-criteria decision-making (MCDM) method introduced by Li, G., Geng, X., Yuan, Y. in 2020 crisp; 2023 variant applicator. 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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