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Group decision-making algorithm with sine trigonometric r,s,t-spherical fuzzy aggregation operators and their application

  • Muhammad Azeem,
  • Ayesha Ilyas,
  • Jawad Ali,
  • Madiha Ghamkhar,
  • Muhammad I. Syam

摘要

rst-spherical fuzzy (rst-SPF) sets provide a robust framework for managing uncertainties in decision-making, surpassing other fuzzy sets in their ability to accommodate diverse uncertainties through the incorporation of flexible parameters r, s, and t. Considering these characteristics, this article explores sine trigonometric laws to enhance the applicability and theoretical foundation for rst-SPF setting. Following these laws, several aggregation operators (AOs) are designed for aggregation of the rst-SPF data. Meanwhile, the desired characteristics and relationships of these operators are studied under sine trigonometric functions. Furthermore, we build a group decision-making algorithm for addressing multiple attribute group decision-making (MAGDM) problems using the developed AOs. To exemplify the applicability of the proposed algorithm, we address a practical example regarding laptop selection. Finally, parameter analysis and a comprehensive comparison with existing operators are conducted to uncover the superiority and validity of the presented AOs.