Salīdzināt metodes
Apskatiet izvēlētās metodes blakus; rindas, kas atšķiras, ir izceltas.
| PiF-ARAS× | CILOS× | |
|---|---|---|
| Nozare | Lēmumu pieņemšana | Lēmumu pieņemšana |
| Saime | MCDM | MCDM |
| Izcelsmes gads≠ | 2013 | 2016 |
| Autors≠ | Cuong, B. C., Kreinovich, V. | Zavadskas, E. K., Podvezko, V. |
| Tips≠ | Picture utility-degree ranking — Picture Fuzzy Number (PiFN: μ, η, ν; μ+η+ν ≤ 1) | Relative criterion-loss matrix weighting (Mirkin theorem based) |
| Pirmavots≠ | Cuong, B. C., Kreinovich, V. (2013). Picture fuzzy sets — A new concept for computational intelligence problems. 2013 Third World Congress on Information and Communication Technologies (WICT 2013) DOI ↗ | 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≠ | PIF-ARAS (PiF-ARAS — Picture Fuzzy extension of ARAS) is a ranking multi-criteria decision-making (MCDM) method introduced by Cuong, B. C., Kreinovich, V. in 2013. 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. |
| ScholarGateDatu kopa ↗ |
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