Vertaile menetelmiä
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| Delphi-menetelmä× | Vaihtoehtojen järjestysmenetelmä, jossa huomioidaan kaksivaiheinen normalisointi× | |
|---|---|---|
| Tieteenala | Päätöksenteko | Päätöksenteko |
| Menetelmäperhe | MCDM | MCDM |
| Syntyvuosi≠ | 1963 | 2022 |
| Kehittäjä≠ | Dalkey, N., Helmer, O. | Zdravković, M., Hamid, M., Radovanović, M. |
| Tyyppi≠ | Weight_Subjective (expert consensus, iterative Likert/ranking) | Two-step normalisation (linear + vector) with weighted power aggregation |
| Alkuperäislähde≠ | Dalkey, N., Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science DOI ↗ | 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 |
| Tiivistelmä≠ | DELPHI (Delphi Method — iterative expert consensus for criterion importance elicitation) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Dalkey, N., Helmer, O. in 1963. 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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