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An Interactive Weighted Geometric Aggregation Operator on T2IFS

Author

Listed:
  • N. Annapurna

    (Department of Mathematics, GITAM School of Science, Gandhi Institute of Technology and Management (GITAM), Visakhapatnam 530045, Andhra Pradesh, India)

  • V. Sireesha

    (Department of Mathematics, GITAM School of Science, Gandhi Institute of Technology and Management (GITAM), Visakhapatnam 530045, Andhra Pradesh, India)

Abstract

Type 2 intuitionistic fuzzy sets (T2IFS) appear to be an attractive and potentially useful tool for coping with uncertainty and inaccurate data in today’s uncertain and ambiguous world. Consequently, it is frequently employed in decision-making (DM) issues. In the DM procedure, it is essential to aggregate the information provided by the experts. The Aggregation operators (AOs) are effective information combining tools. Therefore, this study aims on developing geometric and interactive geometric AOs on T2IFSs. To demonstrate the efficacy of the proposed operator, the optimal e-learning tool selection MCDM problem is solved. The results demonstrate that the proposed interactive AO outperforms existing arithmetic AOs and is applicable to all DM problems.

Suggested Citation

  • N. Annapurna & V. Sireesha, 2024. "An Interactive Weighted Geometric Aggregation Operator on T2IFS," New Mathematics and Natural Computation (NMNC), World Scientific Publishing Co. Pte. Ltd., vol. 20(03), pages 791-811, November.
  • Handle: RePEc:wsi:nmncxx:v:20:y:2024:i:03:n:s179300572450042x
    DOI: 10.1142/S179300572450042X
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