Papers by Ricardo Tanscheit
Hierarchical type-2 neuro-fuzzy BSP model
Information Sciences, 2011
This paper presents a novel hybrid interval type-2 neuro-fuzzy inference system, with automatic l... more This paper presents a novel hybrid interval type-2 neuro-fuzzy inference system, with automatic learning of all its parameters, to handle uncertainty. This new model, called hierarchical type-2 neuro-fuzzy BSP model (T2-HNFB), combines the paradigms of the type-2 fuzzy inference systems and neural networks with recursive partitioning techniques (binary space partitioning – BSP). The model is able to automatically create and
A New Approach to Meta-Evaluation Using Fuzzy Logic
Without Abstract
A Fuzzy Inference System for Meta-Evaluation
Intelligent Systems Design and Applications, 2007
This paper presents a new methodology for meta-evaluation that makes use of fuzzy sets and fuzzy ... more This paper presents a new methodology for meta-evaluation that makes use of fuzzy sets and fuzzy logic concepts. It comprehends a data collection instrument and a hierarchical fuzzy inference system. The advantages of the proposed system are: (i) the instrument, which allows intermediate answers; (ii) the inference process ability to adapt to specific needs; (ii) transparency, through the use of
Sba: Controle & Automação Sociedade Brasileira de Automatica, 2012
Preventive maintenance of sensors assures their correct operation for a certain period of time, b... more Preventive maintenance of sensors assures their correct operation for a certain period of time, but do not guarantee that they remain faultless for other periods, besides being occasionally unnecessary. In industrial plants the analysis of signals from sensors that monitor a plant is a difficult task due to the high-dimensionality of data. Therefore an on-line strategy for monitoring and correcting multiple sensors is required. This work proposes the use of Auto-Associative Neural Networks with a Modified Robust Training and the Sequential Probability Ratio Test (SPRT) in an on-line monitoring system for self-correction and anomalies detection in the measurements generated by a large number of sensors. Unlike existing models, the proposed system aims at using only one AANN for each group of sensors to reconstruct signals from faulty sensors. The model is evaluated with a database containing measurements of industrial sensors that control and carry out the monitoring of an internal combustion engine installed in a mining truck. The result shows the ability of the proposed model to map and correct signals, with a low error, from faulty sensors.
GPF-Control: Um Modelo Fuzzy-Genético Para Problemas De Controle
European Society for Fuzzy Logic and Technology, 2009
This work presents a methodology for the characterization of human reliability based on fuzzy set... more This work presents a methodology for the characterization of human reliability based on fuzzy sets concepts, which has been implemented in an innovative decision support system, providing managers with an intelligent computational tool for reducing the possibility of human errors in industrial activities. Considering that such activities can be described as operational, maintenance or inspection processes, which are composed of a set of procedures, the methodology is carried out in two levels: the process level and the procedure level. The proposed system provides a human reliability index, which allows the identification of problems that may constitute causes of human errors, as well as the indication of possible strategies for the control of potentially adverse impacts of interactions that add uncertainty and complexity to processes.
Hybrid recommendation system based on collaborative filtering and fuzzy numbers
2012 IEEE International Conference on Fuzzy Systems, 2012
ABSTRACT Online retail stores face great challenges to recommend products due to the size and spa... more ABSTRACT Online retail stores face great challenges to recommend products due to the size and sparsity of the databases, as well as the variety of new users and items. As current techniques, based on collaborative filtering, address those issues with only partial success, the present paper proposes the use of a hybrid system of recommendation in online stores. This system makes use of collaborative filtering and of a fuzzy number model based on marketing concepts. Experimental results show that the proposed system presents great invariance to sparse databases, which is of great value for retail companies.
Ensaio: Avaliação e Políticas Públicas em Educação, 2005
Este artículo trata de la categoría precisión de una verdadera evaluación en el ámbito de la eval... more Este artículo trata de la categoría precisión de una verdadera evaluación en el ámbito de la evaluación y de la meta evaluación (evaluación de la evaluación). Presenta, inicialmente, la conceptuación moderna de la evaluación y de la meta evaluación para, entonces, discutir el papel de la meta evaluación de asegurar la calidad de un proceso evaluativo, en sus diferentes enfoques, a partir de las cuatro categorías de una verdadera evaluación (utilidad, viabilidad, ética y precisión). La énfasis del artículo está en la categoría precisión: (i) su importancia en una meta evaluación, en todas las fases o etapas de una evaluación, con sus avances y sus limitaciones y; (ii) su aplica-La Categoría Precisión en la Meta-evaluación: Aspectos Prácticos y Teóricos en un Nuevo Enfoque 1
Studies in the area of Pattern Recognition have indicated that a classification model performs di... more Studies in the area of Pattern Recognition have indicated that a classification model performs differently from one pattern class to another. This observation gave birth to the idea of combining the individual results of differe nt classifiers to derive a consensus decision. This work investigates the potential of combining classifiers to remotely sensed images. A classifier system is built integrating
Discriminação Litológica Por Atributos Sísmicos Elásticos: Uma Abordagem Por Sistemas Fuzzy-Genéticos
Anais do XVII Simpósio de Pesquisa Operacional e Logística da Marinha, 2014
International Conference on Computational Science, 2004
This work discusses an Evolvable Hardware (EHW) platform for the intrinsic evolution of analog el... more This work discusses an Evolvable Hardware (EHW) platform for the intrinsic evolution of analog electronic circuits. The EHW analog platform, named PAMA-NG (Programmable Analog Multiplexer Array-Next Genera- tion), is a reconfigurable platform that consists of integrated circuits whose in- ternal connections can be programmed by Evolutionary Computation tech- niques, such as Genetic Algorithms (GAs), to synthesize circuits. The PAMA- NG
A fuzzy decision support system for meta-evaluation a new approach and a case study performed in Brazil
This work discusses the use of an evolvable proportional-integral-derivative (PID) controller tha... more This work discusses the use of an evolvable proportional-integral-derivative (PID) controller that consists of a PID controller hardware whose gains can be set, for example, by evolutionary computation techniques, such as genetic algorithms. Due to PID controllers' widespread use in industry, tuning procedures for them are always a topic of interest. An evolutionary immune inspired algorithm, named clonal selection algorithm, is used for tuning the controller so that closed-loop step response specifications are satisfied. By using this procedure, designers need only specify the desired closed-loop response. Experiments with different processes indicate that the gains obtained through clonal selection algorithms may provide better responses than those obtained by the classical Ziegler-Nichols method. Moreover, the clonal algorithm is capable of generating adequate gains for systems where classical rules are not applicable.
Studies in the area of Pattern Recognition have indicated that in most cases a classifier perform... more Studies in the area of Pattern Recognition have indicated that in most cases a classifier performs differently from one pattern class to another. This observation gave birth to the idea of combining the individual results from different classifiers to derive a consensus decision. This work investigates the potential of combining neural networks to remotely sensed images. A classifier system is built by integrating the results of a plurarity of feed-forward neural networks, each of them designed to have the best performance for one class. Fuzzy Integrals are used as the combining strategy. Experiments carried out to evaluate the system, using a satellite image of an area undergoing a rapid degradation process, have shown that the combination may yield a better performance than that of a single neural network.
Aplicação De Lógica Fuzzy No Controle De Desobstrução De Tubulações Flexíveis
Resumo A indústria do petróleo utiliza tubulações flexíveis em larga escala para a produção de ca... more Resumo A indústria do petróleo utiliza tubulações flexíveis em larga escala para a produção de campos submarinos. Devido às temperaturas encontrada em águas profundas, muitas destas linhas ficaram totalmente obstruídas. O grande estoque de linhas consideradas irrecuperáveis motivou o desenvolvimento e implantação de um método de desobstrução com o uso de corrente elétrica, cuja operação é efetuada manualmente. Neste trabalho, apresenta-se o uso da equação da energia em uma simulação numérica do aquecimento elétrico para analisar a possibilidade de se automatizar a operação com o auxílio da lógica fuzzy. A lógica fuzzy fornece o ferramental para se traduzir em termos matemáticos as ações dos operadores humanos. O controlador fuzzy resultante é avaliado em dois casos distintos: uma linha de média extensão, com concentração de parafina em regiões específicas; e uma linha de pequenas dimensões, com distribuição uniforme de parafina em seu interior. Em ambos os casos o controle automátic...
An Intelligent Model for Self-compensation and Self-validation of Sensor Measurements
This article presents a hybrid system for self-compensation and self-validation of intelligent in... more This article presents a hybrid system for self-compensation and self-validation of intelligent industrial instruments that combines a Neuro-Fuzzy model, based on the ANFIS architecture, capable of compensating errors caused by non-calibrated instruments, and a validation model based on Fuzzy Logic that provides the level of confidence of measurements. The proposed system indicates to the specialist when a new calibration must be performed. The hybrid system is tested with a differential pressure instrument, used in mining for level and pressure controls.
A máquina de vetor suporte (SVM) é uma técnica de aprendizado estatístico, baseada no princípio d... more A máquina de vetor suporte (SVM) é uma técnica de aprendizado estatístico, baseada no princípio da Minimização do Risco Estrutural (SRM), e pode ser usada para resolver problemas de classificação .
An Immune Fault Detection System with Automatic Detector Generation by Genetic Algorithms
Intelligent Systems Design and Applications, 2007
This work deals with fault detection of electronic analog circuits. A fault detection system for ... more This work deals with fault detection of electronic analog circuits. A fault detection system for analog circuits based on cross-correlation and artificial immune systems is proposed. It is capable of detecting faulty components in analog circuits by analyzing its impulse response. The use of cross-correlation for preprocessing the impulse response drastically reduces the size of the detector used by the
Evolvable Hardware, 2004
This work deals with the design of analog circuits for Artificial Neural Networks (ANNs) controll... more This work deals with the design of analog circuits for Artificial Neural Networks (ANNs) controllers using an Evolvable Hardware (EHW) platform. ANNs are massively parallel systems that rely on simple processors and dense arrangements of interconnections. These networks have demonstrated their ability to deliver simple and powerful solutions in several areas, including control systems. The EHW analog platform is a
NASA/DoD Conference on Evolvable Hardware, 2003. Proceedings., 2003
This work discusses the use of an Evolvable Hardware (
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Papers by Ricardo Tanscheit