Implementação de um Controlador Fuzzy para Controle de Temperatura

Berni, Marco Antonio; Soares, Vinícius Alexandre; Gonçalves, Gustavo José Corrêa; Munhoz, Marcelo Rodrigo; Dias, Larissa Galante; Barbara, Gustavo Vendrame; Breganon, Ricardo

doi:10.34117/bjdv6n6-388

Cited by 3 publications

(4 citation statements)

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“…The rule base of a fuzzy system establishes a relationship between the independent variables, and they are used to associate terms based on premises, with the aim of creating a statement (Junior et al, 2020). For the nephrology area, the following rules were used for the implementation of the model, considering the variables obesity, diabetes, and hypertension: (i) If Obesity is high, Diabetes is medium, and Hypertension is high, so the growth is high; (ii) If Obesity is high, Diabetes is medium, and Hypertension is normal, so the growth is normal; and (iii) If Obesity is low, Diabetes is low, and Hypertension is normal, so the growth is low.…”

Section: Fuzzy Logicmentioning

confidence: 99%

A market intelligence model for the health care business system

Janaina Navarro

2024

Braz. J. Develop.

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Health in Brazil is an old problem that has worsened with the Covid-19 pandemic and resources have become scarce. Studying market behavior and growth trends has become fundamental. This research aims to build a Market Intelligence Model, based on information obtained from official secondary data sources, using the Fuzzy logic methodology. The concepts of Data Analytics and Decision Making applied in the Health Area are addressed. The model was developed in RSdudio software, stored in SQL Database, and presented in Power BI and QGis. The model was validated in private health units in the southeast and northeast regions of Brazil for the treatment of chronic diseases, mainly in the areas of nephrology and oncology. The results were obtained, and it can be concluded that the proposed model has become very effective in estimating the growth of chronic diseases.

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Section: Fuzzy Logicmentioning

confidence: 99%

A market intelligence model for the health care business system

Janaina Navarro

2024

Braz. J. Develop.

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“…Os conjuntos recebem rótulos linguísticos pré-definidos conforme o estudo em questão e formam, a partir de conectivos "se-então", uma base de regras estruturada que relacionam os conjuntos de entrada a um conjunto de saída. Para finalizar a última etapa do controlador nebuloso é a Defuzzyficação, nesta etapa será fornecido na saída do controlador um único valor real que represente os valores nebulosos inseridos na variável linguística, o valor de saída será em um formato que possa ser compreendido (CAMBOIM, 2014;JUNIOR et al, 2020).…”

Section: Definição De Um Sistema Nebulosounclassified

“…A digitalização, conectividade e a automação dos processos industriais são fatores fundamentalmente importantes, que permitem que as empresas se tornem mais competitivas para um mercado flexível e dinâmico (ARBIX et al, 2017;JUNIOR et al, 2020).…”

Section: Introductionunclassified

“…Para otimizar o funcionamento dos sistemas não lineares, tem-se como alternativa a aplicação de novas técnicas através da Manufatura Avançada (MA). O controle nebuloso (CN) pode ser utilizado como uma técnica que reproduz de certa forma a habilidade humana de agir, permitindo manusear informações qualitativas, esta técnica consegue tratar dados imprecisos e incertos de forma eficiente (GOMIDE e GUDWIN, 1994;JUNIOR et al, 2020).…”

Section: Introductionunclassified

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Controlador Nebuloso Aplicado Na Fabricação De Pneus

COMENALE¹,

WILTGEN²

2023

Anais Do XI Congresso Internacional De Ciência, Tecnologia E Desenvolvimento: XI CICTED 2022

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Application of Fuzzy Logic to Analyze the Performance of Sustainability Logistics in Industrial Departments

Moura¹,

Quaresma²,

Salum

2021

Int J Innov Educ Res

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Bearing in mind that the improvement of sustainable logistics activities tend to reduce social, environmental and economic impacts, models for measuring the level of sustainability as a support tool in decision making are increasingly relevant to the process of identifying companies/departments, which need sustainable best practice in order to mitigate costs or increase profit. The objective of the research is to analyze the performance of sustainability logistics in departments of three companies in the electronic segment. As a methodology to develop the research, a sustainable analysis is carried out using a Fuzzy inferences model, in order to consolidate an expert agent, who is able to measure or indicate the level of sustainability performance in the Human Resources (HR) departments. Patrimony and Information Technology (IT), the data set for analysis and inference of the input and output variables are in line with the characteristics of activities and practices performed in each department. As a result, it was possible to identify an influence of the “Priority” variable as a function of “Performance”, in addition, company 1 in the electronic segment presented a performance of 87.6 for HR, 88.1 for IT and 65.5 for Equity with the level of “Performance” in Sustainability.

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Implementação de um Controlador Fuzzy para Controle de Temperatura

Cited by 3 publications

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A market intelligence model for the health care business system

A market intelligence model for the health care business system

Controlador Nebuloso Aplicado Na Fabricação De Pneus

Application of Fuzzy Logic to Analyze the Performance of Sustainability Logistics in Industrial Departments

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