Fuzzy logic is a powerful tool for the automation of milk classification
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Acta scientiarum. Technology (Online) |
Texto Completo: | http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/57860 |
Resumo: | The 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. |
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Fuzzy logic is a powerful tool for the automation of milk classification Fuzzy logic is a powerful tool for the automation of milk classification adulteration; computational intelligence; diffuse logic; lactea drink.adulteration; computational intelligence; diffuse logic; lactea drink.The 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.The 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.Universidade Estadual De Maringá2022-05-24info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/5786010.4025/actascitechnol.v44i1.57860Acta Scientiarum. Technology; Vol 44 (2022): Publicação contínua; e57860Acta Scientiarum. Technology; v. 44 (2022): Publicação contínua; e578601806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/57860/751375154273Copyright (c) 2022 Acta Scientiarum. Technologyhttp://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccess Martins, Jousiane AlvesAzevedo, Alcinei Místico Almeida, Anna Cristina de Silva, Luana Cristina Rodrigues da Fernandes, Ana Clara Gonçalves Valadares, Nermy Ribeiro Aspiazu, Ignacio 2022-06-07T11:47:44Zoai:periodicos.uem.br/ojs:article/57860Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2022-06-07T11:47:44Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false |
dc.title.none.fl_str_mv |
Fuzzy logic is a powerful tool for the automation of milk classification Fuzzy logic is a powerful tool for the automation of milk classification |
title |
Fuzzy logic is a powerful tool for the automation of milk classification |
spellingShingle |
Fuzzy logic is a powerful tool for the automation of milk classification Martins, Jousiane Alves adulteration; computational intelligence; diffuse logic; lactea drink. adulteration; computational intelligence; diffuse logic; lactea drink. |
title_short |
Fuzzy logic is a powerful tool for the automation of milk classification |
title_full |
Fuzzy logic is a powerful tool for the automation of milk classification |
title_fullStr |
Fuzzy logic is a powerful tool for the automation of milk classification |
title_full_unstemmed |
Fuzzy logic is a powerful tool for the automation of milk classification |
title_sort |
Fuzzy logic is a powerful tool for the automation of milk classification |
author |
Martins, Jousiane Alves |
author_facet |
Martins, Jousiane Alves Azevedo, Alcinei Místico Almeida, Anna Cristina de Silva, Luana Cristina Rodrigues da Fernandes, Ana Clara Gonçalves Valadares, Nermy Ribeiro Aspiazu, Ignacio |
author_role |
author |
author2 |
Azevedo, Alcinei Místico Almeida, Anna Cristina de Silva, Luana Cristina Rodrigues da Fernandes, Ana Clara Gonçalves Valadares, Nermy Ribeiro Aspiazu, Ignacio |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
Martins, Jousiane Alves Azevedo, Alcinei Místico Almeida, Anna Cristina de Silva, Luana Cristina Rodrigues da Fernandes, Ana Clara Gonçalves Valadares, Nermy Ribeiro Aspiazu, Ignacio |
dc.subject.por.fl_str_mv |
adulteration; computational intelligence; diffuse logic; lactea drink. adulteration; computational intelligence; diffuse logic; lactea drink. |
topic |
adulteration; computational intelligence; diffuse logic; lactea drink. adulteration; computational intelligence; diffuse logic; lactea drink. |
description |
The 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. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-05-24 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/57860 10.4025/actascitechnol.v44i1.57860 |
url |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/57860 |
identifier_str_mv |
10.4025/actascitechnol.v44i1.57860 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/57860/751375154273 |
dc.rights.driver.fl_str_mv |
Copyright (c) 2022 Acta Scientiarum. Technology http://creativecommons.org/licenses/by/4.0 info:eu-repo/semantics/openAccess |
rights_invalid_str_mv |
Copyright (c) 2022 Acta Scientiarum. Technology http://creativecommons.org/licenses/by/4.0 |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
publisher.none.fl_str_mv |
Universidade Estadual De Maringá |
dc.source.none.fl_str_mv |
Acta Scientiarum. Technology; Vol 44 (2022): Publicação contínua; e57860 Acta Scientiarum. Technology; v. 44 (2022): Publicação contínua; e57860 1806-2563 1807-8664 reponame:Acta scientiarum. Technology (Online) instname:Universidade Estadual de Maringá (UEM) instacron:UEM |
instname_str |
Universidade Estadual de Maringá (UEM) |
instacron_str |
UEM |
institution |
UEM |
reponame_str |
Acta scientiarum. Technology (Online) |
collection |
Acta scientiarum. Technology (Online) |
repository.name.fl_str_mv |
Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM) |
repository.mail.fl_str_mv |
||actatech@uem.br |
_version_ |
1799315337940828160 |