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<p>Hepatitis presents a global health challenge, with diagnosis often hindered by overlapping symptoms, incomplete patient data, and uncertainty in individual susceptibility. Traditional decision-making methods frequently struggle to address such complex uncertainty, leading to inconsistent diagnostic outcomes. To overcome these limitations, this study proposes a novel HyFHSS framework, integrating the expressive capabilities of HyFSs and <i>q</i>-ROFHSSs. Two parameterized aggregation operators, HyFHSWA and HyFHSWG, are introduced to enhance the interpretability and adaptability of uncertain decision outcomes. A comprehensive MCDM algorithm is developed and applied to hepatitis diagnosis, with comparative analyses demonstrating superior flexibility and more effective handling of complex uncertainties than existing approaches. These findings establish the HyFHSS-based framework as a robust clinical decision-support tool with broader applicability in complex medical and multi-attribute decision-making contexts.</p>

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Advancing hepatitis diagnosis with hyperbolic fuzzy hypersoft sets in multiple criteria decision applications

  • 期刊论文

  • 发表日期：

    2026年2月28日

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  • Pairote Yiarayong

摘要

Hepatitis presents a global health challenge, with diagnosis often hindered by overlapping symptoms, incomplete patient data, and uncertainty in individual susceptibility. Traditional decision-making methods frequently struggle to address such complex uncertainty, leading to inconsistent diagnostic outcomes. To overcome these limitations, this study proposes a novel HyFHSS framework, integrating the expressive capabilities of HyFSs and q-ROFHSSs. Two parameterized aggregation operators, HyFHSWA and HyFHSWG, are introduced to enhance the interpretability and adaptability of uncertain decision outcomes. A comprehensive MCDM algorithm is developed and applied to hepatitis diagnosis, with comparative analyses demonstrating superior flexibility and more effective handling of complex uncertainties than existing approaches. These findings establish the HyFHSS-based framework as a robust clinical decision-support tool with broader applicability in complex medical and multi-attribute decision-making contexts.