New Generalizations of the Choquet Integral by Restricted Dissimilarity Functions

  • Giancarlo Lucca UCPel
  • Tiago Asmus FURG
  • Graçaliz P. Dimuro FURG
  • Helida Santos FURG
  • Renata S. H. Reiser UFPel
  • Adenauer C. Yamin UFPel
  • Cedric Marco-Detchard Univ. Publica de Navarra
  • Humberto Bustince Univ. Publica de Navarra

Resumo


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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29/09/2025
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LUCCA, Giancarlo; ASMUS, Tiago; DIMURO, Graçaliz P.; SANTOS, Helida; REISER, Renata S. H.; YAMIN, Adenauer C.; MARCO-DETCHARD, Cedric; BUSTINCE, Humberto. New Generalizations of the Choquet Integral by Restricted Dissimilarity Functions. In: BRAZILIAN CONFERENCE ON INTELLIGENT SYSTEMS (BRACIS), 35. , 2025, Fortaleza/CE. Anais [...]. Porto Alegre: Sociedade Brasileira de Computação, 2025 . p. 227-241. ISSN 2643-6264.