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This paper introduces new generalizations of the Choquet integral by Restricted Dissimilarity Functions (RDFs) to construct alternative fusion operators. The Choquer-RDF-Based generalization where applied in the Fuzzy Reasoning Method (FRM) of a Fuzzy Rule-Based Classification System (FRBCS) to cope with a benchmark composed by 33 different datasets. The results indicated that this approach is an alternative to generalizations that are based in the difference operator, considered in the original functions.

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New Generalizations of the Choquet Integral by Restricted Dissimilarity Functions

  • 会议论文

  • 发表日期：

    2026年

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  • Giancarlo Lucca,
  • Tiago Asmus,
  • Graçaliz P. Dimuro,
  • Helida Santos,
  • Renata S. H. Reiser,
  • Adenauer C. Yamin,
  • Cedric Marco-Detchard,
  • Humberto Bustince

摘要

This paper introduces new generalizations of the Choquet integral by Restricted Dissimilarity Functions (RDFs) to construct alternative fusion operators. The Choquer-RDF-Based generalization where applied in the Fuzzy Reasoning Method (FRM) of a Fuzzy Rule-Based Classification System (FRBCS) to cope with a benchmark composed by 33 different datasets. The results indicated that this approach is an alternative to generalizations that are based in the difference operator, considered in the original functions.