Data for: A Veto-Aware Decision Support Framework for Heterogeneous Medical Large-Scale Group Consensus under Time Pressure

This dataset supports the manuscript “A Veto-Aware Decision Support Framework for Heterogeneous Medical Large-Scale Group Consensus under Time Pressure”. The dataset contains the simulated case-study inputs and analysis tables used to evaluate the VAH-Consensus framework for veto-aware heterogeneous medical large-scale group consensus under time pressure. The files include decision-maker role attributes, initial probabilistic linguistic term set (PLTS) evaluations, transformed PLTS scores, dimensional fluctuation energy and balance factors, normalized expertise and interest weights, consensus-reaching process parameter settings, key iteration records, veto versus non-veto comparison results, and reward-function coefficient configurations. The data are derived from a simulated medical shared decision-making case and do not contain personal, patient-level, or confidential clinical information.