Võrdle meetodeid
Vaata valitud meetodeid kõrvuti; erinevad read on esile tõstetud.
| DELPHI× | Automaatne paariviisiline lineaarne järjestuskombinatsioon× | Alternatiivse järjestusmeetodi kaheetapilise normaliseerimise arvestus× | |
|---|---|---|---|
| Valdkond | Otsustamine | Otsustamine | Otsustamine |
| Perekond | MCDM | MCDM | MCDM |
| Tekkeaasta≠ | 1963 | 2020 | 2022 |
| Looja≠ | Dalkey, N., Helmer, O. | Konstantinos, N., Xenakis, A., Kehagias, A. | Zdravković, M., Hamid, M., Radovanović, M. |
| Tüüp≠ | Weight_Subjective (expert consensus, iterative Likert/ranking) | Pairwise dominance aggregation (automatic combination) | Two-step normalisation (linear + vector) with weighted power aggregation |
| Algallikas≠ | Dalkey, N., Helmer, O. (1963). An experimental application of the Delphi method to the use of experts. Management Science DOI ↗ | Konstantinos, N., Xenakis, A., Kehagias, A. (2020). APLOCO: A linear programming-based multicriteria ranking method that handles dependent criteria and criteria groups. Operational Research 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 ↗ |
| Rööpnimetused | — | — | — |
| Seotud | 8 | 8 | 8 |
| Kokkuvõte≠ | 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. | APLOCO (Automatic Pairwise Linear Order Combination) is a ranking multi-criteria decision-making (MCDM) method introduced by Konstantinos, N., Xenakis, A., Kehagias, A. in 2020. 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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