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Please use this identifier to cite or link to this item: http://hdl.handle.net/1843/59589
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dc.creatorJousiane Alves Martinspt_BR
dc.creatorAlcinei Místico Azevedopt_BR
dc.creatorAnna Cristina de Almeidapt_BR
dc.creatorLuana Cristina Rodrigues da Silvapt_BR
dc.creatorAna Clara Gonçalves Fernandespt_BR
dc.creatorNermy Ribeiro Valadarespt_BR
dc.creatorIgnacio Aspiazupt_BR
dc.date.accessioned2023-10-18T11:35:40Z-
dc.date.available2023-10-18T11:35:40Z-
dc.date.issued2022-
dc.citation.volume44pt_BR
dc.citation.spage2pt_BR
dc.citation.epage8pt_BR
dc.identifier.doihttp://doi.org/10.4025/actascitechnol.v44i1.57860pt_BR
dc.identifier.issn1807-8664pt_BR
dc.identifier.urihttp://hdl.handle.net/1843/59589-
dc.description.resumoThe demand for the consumption of milk and dairy products by the consumer market is very high. This makes it difficult to analyze the large number of milk samples for quality. In addition to the requirement to consider many quality attributes, there are usually large number of producers, who need daily milk evaluations. The aim of the study was to evaluate the efficiency of fuzzy logic in decision making for the classification of milk. In the fuzzification stage, physical and chemical characteristics of the milk were considered as input linguistic variables. For each linguistic variable, pertinence functions were created, and these were made considering the trapezoidal forms. In the inference stage, rules were established for the association of linguistic variables and output variables (adulterated, inadequate and adequate). To verify the efficiency of the modeled system, 1,000 adulterated, inadequate and adequate milk samples were computationally simulated. Precision was verified when automating decision making in the classification of milk by the fuzzy logic, totaling 100% of correctness. Therefore, the fuzzy system is an efficient tool for the classification of milk and can be used advantageously by professionals in the field in order to reduce human and financial resources.pt_BR
dc.languageengpt_BR
dc.publisherUniversidade Federal de Minas Geraispt_BR
dc.publisher.countryBrasilpt_BR
dc.publisher.departmentICA - INSTITUTO DE CIÊNCIAS AGRÁRIASpt_BR
dc.publisher.initialsUFMGpt_BR
dc.relation.ispartofActa Scientiarum. Technology-
dc.rightsAcesso Abertopt_BR
dc.subject.otherInteligência computacionalpt_BR
dc.subject.otherLógica difusapt_BR
dc.subject.otherDerivados do leitept_BR
dc.subject.otherLeite -- Adulteraçãopt_BR
dc.titleFuzzy logic is a powerful tool for the automation of milk classificationpt_BR
dc.typeArtigo de Periódicopt_BR
dc.url.externahttps://periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/57860/751375154273pt_BR
dc.identifier.orcidhttps://orcid.org/0000-0001-5196-0851pt_BR
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