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As an extension of fuzzy sets, bipolar fuzzy (BF) sets contain both the positive degree and negative degree of an object which makes them effectual sets for dealing with uncertainty and bipolarity. In the existing studies on bipolar fuzzy (BF) sets, (i) there is currently no aggregation operator (AO) with the required generality, and (ii) no optimization tool has been suggested as of now in order to calculate criteria weights. This motivated us to represent bipolar BF Generalized Dombi weighted operators based consensus reaching methodology to assess a collection of Enterprise Resource Planning (ERP) packages. In this approach, attribute weights are calculated using an optimization model related to information measures. To claim the superiority of our methodology, we have looked into both the comparisons to other existing methods.

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Bipolar Fuzzy Generalized Dombi Aggregation Operators for Group Decision-Making

  • 章节

  • 发表日期：

    2025年

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  • Abhijit Saha,
  • Abhay Kumar,
  • Surajit Das,
  • Bishnupada Debnath

摘要

As an extension of fuzzy sets, bipolar fuzzy (BF) sets contain both the positive degree and negative degree of an object which makes them effectual sets for dealing with uncertainty and bipolarity. In the existing studies on bipolar fuzzy (BF) sets, (i) there is currently no aggregation operator (AO) with the required generality, and (ii) no optimization tool has been suggested as of now in order to calculate criteria weights. This motivated us to represent bipolar BF Generalized Dombi weighted operators based consensus reaching methodology to assess a collection of Enterprise Resource Planning (ERP) packages. In this approach, attribute weights are calculated using an optimization model related to information measures. To claim the superiority of our methodology, we have looked into both the comparisons to other existing methods.