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| Kriteerien korrelaatio ja keskihajonta objektiivinen painotus× | Additiivinen suhdearviointi× | Vaihtoehtojen järjestysmenetelmä, jossa huomioidaan kaksivaiheinen normalisointi× | |
|---|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM | MCDM |
| Syntyvuosi≠ | 2010 | 2010 | 2022 |
| Kehittäjä≠ | Wang, Y. M., Luo, Y. | Zavadskas, E. K., Turskis, Z. | Zdravković, M., Hamid, M., Radovanović, M. |
| Tyyppi≠ | Correlation-penalised standard-deviation weighting | Additive utility ratio (optimal reference row) | Two-step normalisation (linear + vector) with weighted power aggregation |
| Alkuperäislähde≠ | Wang, Y. M., Luo, Y. (2010). Integration of correlations with standard deviations for determining attribute weights in multiple attribute decision making. Mathematical and Computer Modelling DOI ↗ | 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 ↗ |
| Rinnakkaisnimet | — | — | — |
| Liittyvät | 8 | 8 | 8 |
| Tiivistelmä≠ | CCSD (Criteria Correlation and Standard Deviation objective weighting) is a weight objective multi-criteria decision-making (MCDM) method introduced by Wang, Y. M., Luo, Y. in 2010. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | 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. |
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