Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1050555
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dc.contributor.authorAMARAL, T. B.pt_BR
dc.contributor.authorGOND, V.pt_BR
dc.contributor.authorTRAN, A.pt_BR
dc.date.accessioned2016-08-09T11:11:11Zpt_BR
dc.date.available2016-08-09T11:11:11Zpt_BR
dc.date.created2016-08-09pt_BR
dc.date.issued2016pt_BR
dc.identifier.citationPesquisa Agropecuária Brasileira, Brasília, DF v. 51, n. 5, p. 661-670, maio, 2016.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1050555pt_BR
dc.descriptionThe objective of this work was to apply fuzzy majority multicriteria group decision?making to determine risk areas for foot?and?mouth disease (FMD) introduction along the border between Brazil and Paraguay. The study was conducted in three municipalities in the state of Mato Grosso do Sul, Brazil, located along the border with Paraguay. Four scenarios were built, applying the following linguistic quantifiers to describe risk factors: few, half, many, and most. The three criteria considered to be most likely to affect the vulnerability to introduction of FMD, according to experts? opinions, were: the introduction of animals in the farm, the distance from the border, and the type of property settlements. The resulting maps show a strong spatial heterogeneity in the risk of FMD introduction. The used methodology brings out a new approach that can be helpful to policy makers in the combat and eradication of FMD.pt_BR
dc.language.isoporpt_BR
dc.rightsopenAccesspt_BR
dc.subjectAnálise multicritériopt_BR
dc.subjectAnimal biunguladopt_BR
dc.subjectCloven-footed animalspt_BR
dc.subjectFMDpt_BR
dc.subjectMapa de riscopt_BR
dc.subjectMulticriteria analysispt_BR
dc.subjectRisk mappt_BR
dc.titleMapping the likelihood of foot-and-mouth disease introduction along the border between Brazil and Paraguay.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2017-03-27T11:11:11Zpt_BR
dc.subject.nalthesaurusAphthoviruspt_BR
dc.subject.nalthesaurusfoot-and-mouth diseasept_BR
riaa.ainfo.id1050555pt_BR
riaa.ainfo.lastupdate2017-03-27pt_BR
dc.contributor.institutionTHAIS BASSO AMARAL, CNPGC; VALERY GOND, CIRAD; ANNELISE TRAN, Maison de la Télédétection en Languedoc.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPGC)

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