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Crisp Fuzzy Implications

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Fuzzy Information Processing (NAFIPS 2018)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 831))

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Abstract

Implications play an important role in fuzzy logics as they can be used both in practical and theoretical works. There exist many works in the literature where fuzzy implications behave in a crisp manner, i.e., implications that map to either zero or one. In this sense, we call those implications as crisp fuzzy implications and our goal is to study some their main features.

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Acknowledgments

This work was partially supported by the Brazilian funding agency CNPq (Conselho Nacional de Desenvolvimento Científico e Tecnológico), under the process No. 307781/2016-0.

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Authors and Affiliations

  1. Center of Exact and Natural Sciences, Rural Federal University of SemiArid (UFERSA), Mossoró, RN, Brazil

    Jocivania Pinheiro

  2. Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte (UFRN), Natal, RN, Brazil

    Jocivania Pinheiro, Benjamin Bedregal & Regivan Santiago

  3. Centro de Ciências Computacionais, Federal University of Rio Grande (FURG), Rio Grande, RS, Brazil

    Helida Santos

Authors
  1. Jocivania Pinheiro
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  2. Benjamin Bedregal
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  3. Regivan Santiago
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  4. Helida Santos
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Corresponding author

Correspondence to Jocivania Pinheiro .

Editor information

Editors and Affiliations

  1. Department of Teleinformatics Engineering, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Guilherme A. Barreto

  2. Department of Statistics & Applied Mathematics, Federal University of Ceará, Fortaleza, Ceará, Brazil

    Ricardo Coelho

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Pinheiro, J., Bedregal, B., Santiago, R., Santos, H. (2018). Crisp Fuzzy Implications. In: Barreto, G., Coelho, R. (eds) Fuzzy Information Processing. NAFIPS 2018. Communications in Computer and Information Science, vol 831. Springer, Cham. https://doi.org/10.1007/978-3-319-95312-0_30

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_30

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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