Vertaile menetelmiä
Tarkastele valitsemiasi menetelmiä rinnakkain; eroavat rivit korostetaan.
| Additiivinen suhdearviointi× | Vaihtoehtojen järjestysmenetelmä, jossa huomioidaan kaksivaiheinen normalisointi× | COmprehensive distance Based RAnking× | |
|---|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM | MCDM |
| Syntyvuosi≠ | 2010 | 2022 | 2022 |
| Kehittäjä≠ | Zavadskas, E. K., Turskis, Z. | Zdravković, M., Hamid, M., Radovanović, M. | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. |
| Tyyppi≠ | Additive utility ratio (optimal reference row) | Two-step normalisation (linear + vector) with weighted power aggregation | Distance from PIS/NIS/AS (Euclidean × Taxicab combined) |
| Alkuperäislähde≠ | Zavadskas, E. K., Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision-making. Technological and Economic Development of Economy link ↗ | Zdravković, M., Hamid, M., Radovanović, M. (2022). AROMAN — Alternative Ranking Order Method Accounting for Two-Step Normalisation. Journal of Computational Design and Engineering link ↗ | Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. (2022). A Novel Axiomatic DEA-COBRA Framework for Evaluating the Sustainable Performance of Agri-Food Systems. Sustainability link ↗ |
| Rinnakkaisnimet | — | — | — |
| Liittyvät | 8 | 8 | 8 |
| Tiivistelmä≠ | ARAS (Additive Ratio Assessment) is a ranking multi-criteria decision-making (MCDM) method introduced by Zavadskas, E. K., Turskis, Z. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | AROMAN (Alternative Ranking Order Method Accounting for Two-Step Normalisation) is a ranking multi-criteria decision-making (MCDM) method introduced by Zdravković, M., Hamid, M., Radovanović, M. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | COBRA (COmprehensive distance Based RAnking) is a ranking multi-criteria decision-making (MCDM) method introduced by Krstić, M., Agnusdei, G. P., Tadić, S., Kovač, M., Miglietta, P. P. in 2022. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateAineisto ↗ |
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