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| FUZZY-DELPHI× | Additív Reláció Mérés× | Alternatív Rangsorolási Módszer Kétlépcsős Normalizálás Figyelembevételével× | |
|---|---|---|---|
| Tudományterület | Döntéshozatal | Döntéshozatal | Döntéshozatal |
| Módszercsalád | MCDM | MCDM | MCDM |
| Keletkezés éve≠ | 1988 | 2010 | 2022 |
| Megalkotó≠ | Kaufmann, A., Gupta, M. M. | Zavadskas, E. K., Turskis, Z. | Zdravković, M., Hamid, M., Radovanović, M. |
| Típus≠ | Fuzzy expert elicitation — TFN Delphi with centroid defuzzification | Additive utility ratio (optimal reference row) | Two-step normalisation (linear + vector) with weighted power aggregation |
| Alapmű≠ | Kaufmann, A., Gupta, M. M. (1988). Fuzzy Mathematical Models in Engineering and Management Science. Elsevier Science Publishers, Amsterdam link ↗ | 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 ↗ |
| Alternatív nevek | — | — | — |
| Kapcsolódó | 8 | 8 | 8 |
| Összefoglaló≠ | FUZZY-DELPHI (Fuzzy Delphi — Expert consensus with triangular fuzzy opinions and defuzzification) is a weight subjective multi-criteria decision-making (MCDM) method introduced by Kaufmann, A., Gupta, M. M. in 1988. 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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