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Application of the Sugeno Integral in Fuzzy Rule-Based Classification

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Intelligent Systems (BRACIS 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13653))

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Abstract

Fuzzy Rule-Based Classification System (FRBCS) is a well known technique to deal with classification problems. Recent studies have considered the usage of the Choquet integral and its generalizations to enhance the quality of such systems. Precisely, it was applied to the Fuzzy Reasoning Method (FRM) to aggregate the fired fuzzy rules when classify new data. On the other side, the Sugeno integral, another well known aggregation operator, obtained good results when applied to brain-computer interfaces. Those facts led to the present study in which we consider the Sugeno integral in classification problems. That is, the Sugeno integral is applied in the FRM of a widely used FRBCS and its performance is analyzed over 33 different datasets from the literature. In order to show the efficiency of this new approach, the obtained results are also compared to past studies involving the application of different aggregation functions. Finally, we perform a statistical analysis of the application.

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Notes

  1. 1.

    An overview of the different generalizations of the Choquet integral is available in [11].

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Acknowledgments

The authors would like to thank CNPq (proc. 305805/2021-5, 301618/2019-4), FAPERGS (proc. 19/2551-0001660-3) and Navarra de Servicios y Tecnologías, S.A. (NASERTIC).

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Authors and Affiliations

  1. Departamento de Estadística, Informática y Matemáticas, Universidad Pública de Navarra, Pamplona, Spain

    Jonata Wieczynski & Graçaliz Dimuro

  2. Centro de Ciêcias Computacionais, Universidade Federal de Rio Grande, Rio Grande, Brazil

    Giancarlo Lucca, Eduardo Borges & Graçaliz Dimuro

Authors
  1. Jonata Wieczynski
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  2. Giancarlo Lucca
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  3. Eduardo Borges
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  4. Graçaliz Dimuro
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Corresponding author

Correspondence to Giancarlo Lucca .

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Editors and Affiliations

  1. Federal University of Rio Grande do Norte, Natal, Brazil

    João Carlos Xavier-Junior

  2. Federal University of Bahia, Salvador, Brazil

    Ricardo Araújo Rios

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Wieczynski, J., Lucca, G., Borges, E., Dimuro, G. (2022). Application of the Sugeno Integral in Fuzzy Rule-Based Classification. In: Xavier-Junior, J.C., Rios, R.A. (eds) Intelligent Systems. BRACIS 2022. Lecture Notes in Computer Science(), vol 13653. Springer, Cham. https://doi.org/10.1007/978-3-031-21686-2_15

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  • DOI: https://doi.org/10.1007/978-3-031-21686-2_15

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