Fuzzy Number
Mostrando 13-24 de 68 artigos, teses e dissertações.
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13. MONITORING THE STATOR CURRENT IN INDUCTION MACHINES FOR POSSIBLE FAULT DETECTION: A FUZZY/BAYESIAN APPROACH FOR THE PROBLEM OF TIME SERIES MULTIPLE CHANGE POINT DETECTION
ABSTRACT This paper addresses the problem of fault detection in stator winding of induction machine by a multiple change points detection approach in time series. To handle this problem a new fuzzy/Bayesian approach is proposed which differs from previous approaches since it does not require prior information as: the number of change points or the characteri
Pesqui. Oper.. Publicado em: 2016-08
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14. Desenvolvimento de modelo multidimensional de predição de peptídeos antimicrobianos utilizando um sistema de inferência neuro-fuzzy adaptativo (ANFIS)
Antimicrobial peptides (AMPs) are defense molecules widely distributed and represent a promising alternative for solving the problem of antibiotic resistance. Nevertheless, the experimental time needed to screen putative AMPs makes computational simulations based on peptide sequence analysis and/or molecular modeling extremely attractive. Artificial intellig
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/07/2012
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15. Integrating Ridge-type regularization in fuzzy nonlinear regression
In this paper, we deal with the ridge-type estimator for fuzzy nonlinear regression models using fuzzy numbers and Gaussian basis functions. Shrinkage regularization methods are used in linear and nonlinear regression models to yield consistent estimators. Here, we propose a weighted ridge penalty on a fuzzy nonlinear regression model, then select the number
Comput. Appl. Math.. Publicado em: 2012
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16. Fuzzy logic for structural system control
This paper provides some information and numerical tests that aims to investigate the use of a Fuzzy Controller applied to control systems. Some advantages are reported regarding the use of this controller, such as the characteristic ease of implementation due to its semantic feature in the statement of the control rules. On the other hand, it is also hypoth
Lat. Am. j. solids struct.. Publicado em: 2012
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17. Desenvolvimento e avaliação de um software de controle de atendimentos e apoio à decisão, para diagnóstico diferencial de disfunções do trato urinário inferior, baseado em lógica fuzzy / Development and evaluation of a software control and decision support calls for differential diagnosis lower urinary tract dysfunction, based on fuzzy logic
Introduction: The use of informatics tools is seen as a facilitator of the process of compiling, recording and analyzing data. Competence of nurses, the Nursing Process helps provide individualized care to the patient. In addition, the use of expert systems, decision support can help general practitioners or without experience in the area to determine the di
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 01/07/2011
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18. Modelagem nebulosa evolutiva: novas topologias e algoritmos de aprendizagem
This works aims to introduce new evolving fuzzy topologies and learning algorithms. Evolving fuzzy systems are defined as new class of intelligent fuzzy systems, with a high flexibility and autonomy. These systems are able to address problems like nonlinear system identification, control and pattern classification in a dynamic changing environment, adapting
Publicado em: 2011
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19. Explorando informações texturais das visões crânio-caudal e médio-lateral oblíqua para extração e classificação Fuzzy de imagens mamográficas / Explorando informações texturais das visões crânio-caudal e médio-lateral oblíqua para extração e classificação Fuzzy de imagens mamográficas
The computerized system to support detection and diagnosis (Computer Aided Detection or Diagnosis - CAD) is a tool for medical help that has been used to identify and diagnose abnormalities in breast tissue. Although CAD systems have provided a large number of research and increased sensitivity, the majority analyzes the MLO and CC views independently. Exper
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/11/2010
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20. Agreement index and fuzzy risk for the evaluation of waste stabilization pond systems / INDICE DE CONCORDÃNCIA E RISCO FUZZY NA AVALIAÃÃO DO DESEMPENHO DE SISTEMAS DE LAGOAS DE ESTABILIZAÃÃO
In the present study fuzzy arithmetic via triangular fuzzy numbers (TFNs) was applied to compute Fuzzy Agreement Index (FAI) and Fuzzy Risk (FR) for the evaluation of operational aspects, performance and effluent quality in 14 full-scale waste stabilization pond plants (6 primary facultative ponds â PFPs and 8 pond series- PSs) treating domestic sewage. Fin
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 18/10/2010
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21. Modelos modificados de redes neurais morfológicas / Modified models of morphological neural networks
Morphological neural networks (MNN) are artificial neural networks whose hidden neurons perform elementary operations of mathematical morphology (MM). Several particular models of MNNs have been proposed in recent years, including morphological perceptrons (MPs), morphological perceptrons with dendrites, (fuzzy) morphological associative memories, modular mo
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 26/04/2010
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22. Números fuzzy em processamento de imagens digitais e suas aplicações na detecção de bordas / Fuzzy numbers in digital image processing and its aplications on edge detection
O objetivo deste trabalho é apresentar uma nova abordagem, baseada no conceito de números fuzzy, para detecção de bordas em imagens digitais chamado FUNED (Fuzzy Number Edge Detector). A técnica de detecção de bordas implementada pelo FUNED considera uma vizinhança local dos pixels da imagem, definida pelo usuário e, baseado no conceito de números
Publicado em: 2010
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23. Um estudo sobre métodos de Kernel para classificação e agrupamento de dados
The learning machines project involves modelling a set of samples based on the mapping performance of the input-output pairs. The group of samples submitted to training provides information for determining the parameters of the model. And the validation and/or test group evaluates the performance of the classifier on its generalization ability. However, the
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/08/2009
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24. Geração genética de classificador fuzzy intervalar do tipo-2
The objective of this work is to study, expand and evaluate the use of interval type-2 fuzzy sets in the knowledge representation for fuzzy inference systems, specifically for fuzzy classifiers, as well as its automatic generation form data sets, by means of genetic algorithms. This work investigates the use of such sets focussing the issue of balance betwee
Publicado em: 2009