A novel stochastic-integration-based decision framework and methodology for multi-attribute and multi-period group decision-making with heterogeneous preferences

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The proposed decision framework enhances group decision-making processes, effectively managing heterogeneous preferences.
Key evidence shows that diverse preferences can be integrated, resulting in a more robust decision model.
Observational analysis applies stochastic integration techniques to assess multi-attribute decisions across varied scenarios.
The findings suggest improved group decisions through structured frameworks, emphasizing the need for tailored methodologies.

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Novel framework aids multi-attribute decision-making in groups with varying preferences, suggesting improved outcomes.

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Dong et al. (2026) studied this question.

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