This study proposes a dynamic evaluation model for medical service quality that integrates proximity function, fuzzy mathematics, and hexahedral boundary function theory (a mathematical tool that defines the value range of evaluation indicators by setting threshold constraints across six orthogonal dimensions). The method constructs a three-dimensional “past-present-future” data constraint system and a dynamic game weighting mechanism. Expected results based on simulated data demonstrate that the model shows potential for improvement in convergence efficiency and uncertainty reduction, while providing actionable outputs correlated with rating systems for quality control.
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