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| Stochastic UTilités Additives (preferensdisaggregation under osäkerhet)× | Mätning av alternativ och rangordning enligt kompromisslösning× | |
|---|---|---|
| Ämnesområde | Beslutsfattande | Beslutsfattande |
| Familj | MCDM | MCDM |
| Ursprungsår≠ | 1982 — stochastic extension Stavrou-Ventikos-Tsoukalas 2018 Springer | 2020 |
| Upphovsperson≠ | Stavrou, D. I.; Ventikos, N. P.; Tsoukalas, V. D. (2018) — STOCHASTIC-UTA seminal chapter Jacquet-Lagrèze, E.; Siskos, J. (1982) — classical UTA foundation Siskos, Y. (1980) — preference disaggregation theory | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. |
| Typ≠ | Preference disaggregation with LP utility fitting + Monte Carlo acceptability analysis | Utility function (ideal + anti-ideal reference) |
| Ursprungskälla≠ | Stavrou, D. I., Ventikos, N. P., Tsoukalas, V. D. (2018). Robust Evaluation of Risks in Ship-to-Ship Transfer Operations: Application of the STOCHASTIC UTA Multicriteria Decision Support Method. In Lee, P. T. W. & Yang, Z. (Eds.), Multi-criteria Decision Making in Maritime Studies and Logistics (pp. 161–185). Springer. DOI ↗ | Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. (2020). Sustainable supplier selection in healthcare industries using a new MCDM method: Measurement of Alternatives and Ranking according to Compromise Solution (MARCOS). Computers & Industrial Engineering DOI ↗ |
| Alias | — | — |
| Närliggande≠ | 3 | 8 |
| Sammanfattning≠ | STOCHASTIC-UTA (Stochastic UTilités Additives (preference-disaggregation under uncertainty)) is a ranking multi-criteria decision-making (MCDM) method introduced by Stavrou, D. I.; Ventikos, N. P.; Tsoukalas, V. D. (2018) — STOCHASTIC-UTA seminal chapter Jacquet-Lagrèze, E.; Siskos, J. (1982) — classical UTA foundation Siskos, Y. (1980) — preference disaggregation theory in 1982 — stochastic extension Stavrou-Ventikos-Tsoukalas 2018 Springer. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. | MARCOS (Measurement of Alternatives and Ranking according to Compromise Solution) is a ranking multi-criteria decision-making (MCDM) method introduced by Stević, Ž., Pamučar, D., Puška, A., Chatterjee, P. in 2020. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
| ScholarGateDatamängd ↗ |
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