Title:	Estimating the xenobiotics mixtures toxicity on aquatic organisms: the use of alpha-level of the fuzzy number.
Authors:	PEIXOTO, M. S. JONSSON, C. M. PARAIBA, L. C. BARROS, L. C. LODWICK, W. A.
Affiliation:	Magda S. Peixoto, UFSCar; CLAUDIO MARTIN JONSSON, CNPMA; LOURIVAL COSTA PARAIBA, CNPMA; Laécio C. Barros, UNICAMP; Weldon A. Lodwick, University of Colorado, Denver.
Date Issued:	2018
Citation:	In: BARRETO, G. A.; COELHO, R. (Ed.). Fuzzy Information Processing. NAFIPS, 2018. Communications in Computer and Information Science, vol. 831. Springer, Cham.
Pages:	p. 489-499.
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.
NAL Thesaurus:	mixtures
Keywords:	Fuzzy numbers Ecotoxicological
Type of Material:	Parte de livro
Access:	openAccess
Appears in Collections:	Capítulo em livro científico (CNPMA)