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Recently, an optimization of information granularity distribution has been proposed as a way in which the consistency of an intuitionistic reciprocal preference relation can be increased. Specifically, a symmetric and uniform distribution of information granularity has been taken into account for intuitionistic reciprocal preference relations. However, there are other information granularity distribution protocols that could also be used. The objective of this paper is to analyze all of them and determine their effectiveness in improving the consistency of an intuitionistic reciprocal preference relation. The performance of the protocols is discussed by conducting some numerical studies that help provide insights into the effectiveness of the protocols to increase the consistency.

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An Analysis of Different Information Granularity Distribution Protocols to Improve Consistency in Intuitionistic Reciprocal Preference Relations

  • 会议论文

  • 发表日期：

    2025年

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  • Juan Carlos González-Quesada,
  • Enrique Herrera-Viedma,
  • Sergio Alonso,
  • Juan Antonio Morente-Molinera,
  • Ignacio Javier Pérez,
  • Francisco Javier Cabrerizo

摘要

Recently, an optimization of information granularity distribution has been proposed as a way in which the consistency of an intuitionistic reciprocal preference relation can be increased. Specifically, a symmetric and uniform distribution of information granularity has been taken into account for intuitionistic reciprocal preference relations. However, there are other information granularity distribution protocols that could also be used. The objective of this paper is to analyze all of them and determine their effectiveness in improving the consistency of an intuitionistic reciprocal preference relation. The performance of the protocols is discussed by conducting some numerical studies that help provide insights into the effectiveness of the protocols to increase the consistency.