Desenvolvimento de aplicações em medicina e agronomia utilizando lógica fuzzy e neuro fuzzy

Pós-graduação em Engenharia Elétrica - FEIS

Estimating outcomes in newborn infants using fuzzy logic

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Parametrização de modelo para simulação de distribuição de combustíveis em um terminal

A great competition between companies happens nowadays, due to, among other factors, the globalized economic system, the growing consumer demand and the technological advances. This fact implies the need for fast and efficient tools in decision making. A validated simulation model is able to perform this task. Thus, it was parameterized a simulation model of a fuel distribution terminal. It is a complex system because of its great variability. The model´s data input were collected, however the model was not statistically validated, in other word, does not adequately represent the real system. A search was made for the possible causes of this fact: dividing the compartments of tanker trucks, data collection may have been insufficient, inefficient model for unloading of biofuels

Estimação do número de internações por doenças respiratórias utilizando lógica fuzzy tipo-2 intervalar

In this work was developed a fuzzy computational model type-2 predictive interval, using the software of the type-2 fuzzy MATLAB toolbox, the final idea is to estimate the number of hospitalizations of patients with respiratory diseases. The interest in the creation of this model is to assist in decision makeshift hospital environment, where there are no medical or professional equipment available to provide the care that the population need. It began working with the study of fuzzy logic, the fuzzy inference system and fuzzy toolbox. Through a real database provided by the Departamento de Informática do Sistema Único de Saúde (DATASUS) and Companhia de Tecnologia de Saneamento Básico (CETESB), was possible to start the model. The analyzed database is composed of the number of patients admitted with respiratory diseases a day for the public hospital in São José dos Campos, during the year 2009 and by factors such as PM10, SO2, wind and humidity. These factors were analyzed as input variables and, through these, is possible to get the number of admissions a day, which is the output variable of the model. For data analysis we used the fuzzy control method type-2 Mamdani. In the following steps the performance developed in this work was compared with the performance of the same model using fuzzy logic type-1. Finally, the validity of the models was estimated by the ROC curve

Estudo comparativo entre o modelo analítico de Domenico (1987) e Wexler (1992) e suas implicações no gerenciamento de passivos ambientais

Pós-graduação em Geociências e Meio Ambiente - IGCE

Seleção de materiais e design: um método com base nas redes neurais artificiais

Pós-graduação em Design - FAAC

Fuzzy rule-based system for evaluation of uncertainty transaction in cassava chain

A fuzzy ruled-based system was developed in this study and resulted in an index indicating the level of uncertainty related to commercial transactions between cassava growers and their dealers. The fuzzy system was developed based on Transaction Cost Economics approach. The fuzzy system was developed from input variables regarding information sharing between grower and dealer on “Demand/purchase Forecasting”, “Production Forecasting” and “Production Innovation”. The output variable is the level of uncertainty regarding the transaction between seller and buyer agent, which may serve as a system for detecting inefficiencies. Evidences from 27 cassava growers registered in the Regional Development Offices of Tupa and Assis, São Paulo, Brazil, and 48 of their dealers supported the development of the system. The mathematical model indicated that 55% of the growers present a Very High level of uncertainty, 33% present Medium or High. The others present Low or Very Low level of uncertainty. From the model, simulations of external interferences can be implemented in order to improve the degree of uncertainty and, thus, lower transaction costs.

Um modelo fuzzy-dea-game para estratégias de produção sob incerteza

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Sistema baseado em regras fuzzy do tipo Takagi-Sugeno aplicado a ecos de radares meteorológicos

Pós-graduação em Ciências Ambientais - Sorocaba

Modelo matemático para determinação do custo e produção de energia na cultura da cana-de-açúcar

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

A gestão do fluxo das informações contábeis-financeiras como subsídio do processo de decisão: estudo de caso em uma instituição de ensino superior do terceiro setor

Pós-graduação em Ciência da Informação - FFC

Conversor inversor integrado três estados buck-boost para geração distribuída, com operação conectada ou ilhada

Pós-graduação em Engenharia Elétrica - FEIS

Representação de linhas de transmissão trifásicas diretamente no domínio das fases por meio da matriz ABCD

Pós-graduação em Engenharia Elétrica - FEIS

Modelo conceitual para a aplicação de FMEA de processo na indústria automotiva

Pós-graduação em Engenharia Mecânica - FEG

Modelagem fuzzy de dados climáticos estimados por modelo matemático - CCATT-BRAMS

Pós-graduação em Engenharia Mecânica - FEG