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Stokastiske Additive Nyttefunktioner (præference-disaggregering under usikkerhed)

STOCHASTIC-UTA (Stokastiske Additive Nyttefunktioner (præference-disaggregering under usikkerhed)) er en rangeringsmetode inden for multi-kriterie beslutningstagning (MCDM) introduceret af Stavrou, D. I.; Ventikos, N. P.; Tsoukalas, V. D. (2018) — STOCHASTIC-UTA seminalt kapitel Jacquet-Lagrèze, E.; Siskos, J. (1982) — klassisk UTA fundament Siskos, Y. (1980) — præference-disaggregeringsteori i 1982 — stokastisk udvidelse Stavrou-Ventikos-Tsoukalas 2018 Springer. Den omdanner en beslutningsmatrix af alternativer vurderet på flere kriterier til et struktureret, reproducerbart resultat.

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Kilder

  1. 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: 10.1007/978-3-319-62338-2_8

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ScholarGate. (2026, June 2). Stochastic UTilités Additives (preference-disaggregation under uncertainty). ScholarGate. https://scholargate.app/da/decision-making/stochastic-uta

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ScholarGateSTOCHASTIC-UTA (Stochastic UTilités Additives (preference-disaggregation under uncertainty)). Hentet 2026-06-15 fra https://scholargate.app/da/decision-making/stochastic-uta · Datasæt: https://doi.org/10.5281/zenodo.20539026