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The 2-dimension linguistic intuitionistic fuzzy variables (2-DLIFVs) are highly adaptable and effective instruments for simulating expert’s cognitive information in difficult decision-making scenarios while taking the validity of the assessment outcomes into account. By taking into account the feature of 2-DLIFs the present study is carried out to extend the Boneferroni mean in 2-DLIF environment. The accuracy functions, score, and operational laws for 2-DLIFBM are defined in this work. Furthermore, we establish several important features linked with 2-dimensional linguistic intuitionistic fuzzy weighted Boneferroni mean (2-DLIFWBM). A method is developed for multiple attribute group decision making using 2-DLIF information, utilizing the suggested aggregation operators. The established method’s validity is finally verified and demonstrated with an illustrative example.

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2-dimensional Linguistic Intuitionistic Fuzzy Bonferroni Aggregation Operators to Decision Making

  • 会议论文

  • 发表日期：

    2025年

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  • Madhu Gupta,
  • Diksha Gupta

摘要

The 2-dimension linguistic intuitionistic fuzzy variables (2-DLIFVs) are highly adaptable and effective instruments for simulating expert’s cognitive information in difficult decision-making scenarios while taking the validity of the assessment outcomes into account. By taking into account the feature of 2-DLIFs the present study is carried out to extend the Boneferroni mean in 2-DLIF environment. The accuracy functions, score, and operational laws for 2-DLIFBM are defined in this work. Furthermore, we establish several important features linked with 2-dimensional linguistic intuitionistic fuzzy weighted Boneferroni mean (2-DLIFWBM). A method is developed for multiple attribute group decision making using 2-DLIF information, utilizing the suggested aggregation operators. The established method’s validity is finally verified and demonstrated with an illustrative example.