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Estimating the Xenobiotics Mixtures Toxicity on Aquatic Organisms: The Use of \(\alpha \)-level of the Fuzzy Number

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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

Agricultural practices that use various xenobiotics can contaminate surface water and groundwater with xenobiotics mixtures concentrations which cause serious risks to water quality and to the health of aquatic organisms that inhabit them. Xenobiotics in water when present as mixtures can exacerbate or reduce the toxic effects in aquatic organisms, when compared to the toxic effects of each individual component concentrations of the xenobiotics mixture. The objective of this study is to develop a mathematical method using \(\alpha \)-level of the fuzzy numbers with less accounts and simpler calculations to sort ecotoxicological effects in aquatic organisms of xenobiotics mixtures concentrations occurring in water, classifying them into antagonistic, additive or synergistic and also establishing the magnitude of the effects of concentrations of mixtures. The proposed method in this paper using fuzzy numbers can be suggested in protocols established by regulatory agencies to classify ecotoxicological effects of xenobiotics mixtures in water.

M. S. Peixoto—Financial support by Coordination for the Improvement of Higher Education Personnel (CAPES).

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Acknowledgments

The first author acknowledges the Coordination for the Improvement of Higher Education Personnel (CAPES) and the São Paulo Research Foundation (FAPESP), projects numbers 2016/04299–9, the second author acknowledges the São Paulo Research Foundation (FAPESP), project numbers 2010/06294-8, and the fourth author acknowledges the National Council for Scientific and Technological Development (CNPq), project numbers 306546/2017–5, for the financial support.

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Authors and Affiliations

  1. Universidade Federal de São Carlos, Sorocaba, São Paulo, 18052-780, Brazil

    Magda S. Peixoto

  2. Embrapa Meio Ambiente, Jaguariúna, São Paulo, 13820-000, Brazil

    Claudio M. Jonsson & Lourival C. Paraiba

  3. Universidade Estadual de Campinas, Campinas, São Paulo, 13083-859, Brazil

    Laécio C. Barros

  4. University of Colorado, Denver, CO, 80217-3364, USA

    Weldon A. Lodwick

Authors
  1. Magda S. Peixoto
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  2. Claudio M. Jonsson
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  3. Lourival C. Paraiba
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  4. Laécio C. Barros
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  5. Weldon A. Lodwick
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Corresponding author

Correspondence to Laécio C. Barros .

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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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Peixoto, M.S., Jonsson, C.M., Paraiba, L.C., Barros, L.C., Lodwick, W.A. (2018). Estimating the Xenobiotics Mixtures Toxicity on Aquatic Organisms: The Use of \(\alpha \)-level of the Fuzzy Number. 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_42

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  • DOI: https://doi.org/10.1007/978-3-319-95312-0_42

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-95311-3

  • Online ISBN: 978-3-319-95312-0

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