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Home›Decision-making›Stochastic UTilités Additives (preference-disaggregation under uncertainty)
MCDMRankingcrisp

Stochastic UTilités Additives (preference-disaggregation under uncertainty)

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.

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STOCHASTIC-UTA
MARCOSTOPSISVIKOR

When to use it

STOCHASTIC-UTA fits additive utility functions to a DM-supplied reference ranking via LP, then samples uncertain inputs N times (Monte Carlo) to derive acceptability indices. In deterministic mode (N=1), the score is the global utility u(A_i); in stochastic mode it is the holistic acceptability a_i.

Strengths & limitations

Strengths
  • Follows a transparent, reproducible computational procedure that can be audited step by step.
  • Handles multiple criteria of differing scales and units within a single decision matrix.
Limitations
  • Assumes full compensation — a strong score on one criterion can offset a weak score on another.

Sources

  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 ↗

How to cite this page

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

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MARCOSTOPSISVIKOR

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Similar methods

UTAUTASTARUTADISSMAA2MAUTVIKOR-SMAAMONTE-CARLO-SIMULATIONSMAA

Related reference concepts

Decision Support SystemsDecision MakingCriteria for Decision-Making under Risk and UncertaintyDecision Theory and UtilityMultidimensional ScalingEconometric Modeling

Spotted an issue on this page? Report or suggest a fix →

ScholarGate — STOCHASTIC-UTA (Stochastic UTilités Additives (preference-disaggregation under uncertainty)). Retrieved 2026-07-20 from https://scholargate.app/en/decision-making/stochastic-uta · Dataset: https://doi.org/10.5281/zenodo.20539026
Quick facts
Originator
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
Subfamily
Ranking
Year
1982 — stochastic extension Stavrou-Ventikos-Tsoukalas 2018 Springer
Type
Preference disaggregation with LP utility fitting + Monte Carlo acceptability analysis
Value Space
crisp
Uncertainty
stochastic
Compensation
full
Rank Reversal
No
Related methods
MARCOSTOPSISVIKOR
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