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<p>This paper introduces complex <i>T</i>-spherical fuzzy hypersoft sets to model uncertain data using complex-valued truth, neutral, and falsity grades. Novel aggregation operators, including weighted averaging and geometric operators, are developed and applied in a multiple criteria decision-making method for evaluating alternatives during the COVID-19 pandemic. Numerical results and comparisons demonstrate the approach’s effectiveness and superiority over existing methods.</p>

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Complex T-spherical fuzzy hypersoft sets: a novel approach for evaluating uncertain information and MCDM applications in the COVID-19 pandemic

  • 期刊论文

  • 发表日期：

    2025年3月24日

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  • Pairote Yiarayong

摘要

This paper introduces complex T-spherical fuzzy hypersoft sets to model uncertain data using complex-valued truth, neutral, and falsity grades. Novel aggregation operators, including weighted averaging and geometric operators, are developed and applied in a multiple criteria decision-making method for evaluating alternatives during the COVID-19 pandemic. Numerical results and comparisons demonstrate the approach’s effectiveness and superiority over existing methods.