Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.

Detalhes bibliográficos
Autor(a) principal: PEIXOTO, M. S.
Data de Publicação: 2018
Outros Autores: JONSSON, C. M., PARAIBA, L. C., BARROS, L. C., LODWICK, W. A.
Tipo de documento: Capítulo de livro
Idioma: por
Título da fonte: Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
Texto Completo: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1104113
Resumo: 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 ?-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.
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spelling Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.Fuzzy numbersEcotoxicologicalmixturesAbstract: 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 ?-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.Magda S. Peixoto, UFSCar; CLAUDIO MARTIN JONSSON, CNPMA; LOURIVAL COSTA PARAIBA, CNPMA; Laécio C. Barros, UNICAMP; Weldon A. Lodwick, University of Colorado, Denver.PEIXOTO, M. S.JONSSON, C. M.PARAIBA, L. C.BARROS, L. C.LODWICK, W. A.2019-01-19T00:18:55Z2019-01-19T00:18:55Z2019-01-1520182019-03-06T11:11:11Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookPartp. 489-499.In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1104113porinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2019-01-19T00:19:01Zoai:www.alice.cnptia.embrapa.br:doc/1104113Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542019-01-19T00:19:01falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542019-01-19T00:19:01Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false
dc.title.none.fl_str_mv Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
title Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
spellingShingle Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
PEIXOTO, M. S.
Fuzzy numbers
Ecotoxicological
mixtures
title_short Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
title_full Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
title_fullStr Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
title_full_unstemmed Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
title_sort Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
author PEIXOTO, M. S.
author_facet PEIXOTO, M. S.
JONSSON, C. M.
PARAIBA, L. C.
BARROS, L. C.
LODWICK, W. A.
author_role author
author2 JONSSON, C. M.
PARAIBA, L. C.
BARROS, L. C.
LODWICK, W. A.
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Magda S. Peixoto, UFSCar; CLAUDIO MARTIN JONSSON, CNPMA; LOURIVAL COSTA PARAIBA, CNPMA; Laécio C. Barros, UNICAMP; Weldon A. Lodwick, University of Colorado, Denver.
dc.contributor.author.fl_str_mv PEIXOTO, M. S.
JONSSON, C. M.
PARAIBA, L. C.
BARROS, L. C.
LODWICK, W. A.
dc.subject.por.fl_str_mv Fuzzy numbers
Ecotoxicological
mixtures
topic Fuzzy numbers
Ecotoxicological
mixtures
description 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 ?-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.
publishDate 2018
dc.date.none.fl_str_mv 2018
2019-01-19T00:18:55Z
2019-01-19T00:18:55Z
2019-01-15
2019-03-06T11:11:11Z
dc.type.driver.fl_str_mv info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/bookPart
format bookPart
status_str publishedVersion
dc.identifier.uri.fl_str_mv In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham.
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1104113
identifier_str_mv In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham.
url http://www.alice.cnptia.embrapa.br/alice/handle/doc/1104113
dc.language.iso.fl_str_mv por
language por
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv p. 489-499.
dc.source.none.fl_str_mv reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron:EMBRAPA
instname_str Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
instacron_str EMBRAPA
institution EMBRAPA
reponame_str Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
collection Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)
repository.name.fl_str_mv Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)
repository.mail.fl_str_mv cg-riaa@embrapa.br
_version_ 1794503469459046400

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