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Babroudi, N.E.P., Sabri-Laghaie, K. and Ghoushchi, N.G. (2021) Re-Evaluation of the Healthcare Service Quality Criteria for the Covid-19 Pandemic: Z-Number Fuzzy Cognitive Map. Applied Soft Computing, 112, Article 107775.
https://doi.org/10.1016/j.asoc.2021.107775

has been cited by the following article:

• TITLE: Research on Dynamic Evaluation Model of Medical Service Quality Based on Proximity Function and Fuzzy Mathematics

  AUTHORS: Zhenmin Liu, Yifan Liu, Xin Zhao, Hanzhen Xiao, Shihui Yu, Jianhui Liu, Yifang Fu, Shuxiong Xiao, Hongsheng Yu

  KEYWORDS: Medical Service Quality, Dynamic Evaluation Model, Boundary Function, Convergence Efficiency, Fuzzy Mathematics, Proximity Function

  JOURNAL NAME: Advances in Pure Mathematics, Vol.16 No.5, May 29, 2026

  ABSTRACT: 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.