Exemplos de uso de Fuzzy inference em Inglês e suas traduções para o Português
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maximum is due to the defuzzification method of the fuzzy inference system, in that the result is obtained by calculating the area center.
A mamdani fuzzy inference system for speech recognition is optimized by genetic algorithm to maximize the amount of correct classification of standards with a reduced number of parameters.
Then it is performed the fuzzy inference process proposed by Mamdani;
it may be an artificial neural network or fuzzy inference block, such a study is made for two typical parks described throughout this work.
which was based on the application of the decomposition technique of orthogonal components in the pre-processing variables and fuzzy inference to interpret the nonlinearities of power distribution systems with the presence of distributed generation.
This research proposes a fuzzy inference method for database classification(fimc),
a incor database with 109 patients and, fuzzy inference, it is possible to provide a better refined analysis
PLN has been designed to allow basic probabilistic inference to interact with other kinds of inference such as intensional inference, fuzzy inference, and higher-order inference using quantifiers,
Genetic fuzzy systems constitute an area that brings together fuzzy inference systems and meta-heuristics that are often related to natural selection and genetic recombination.
In fuzzy inference systems, the operators used in data manipulation includes t-norma,
A fuzzy inference system was developed to predict the pf,
of the gradual transition, evaluated in the fuzzy inference process.
A fuzzy inference system(fis) to assess the environmental impact of contamination level generated by leaks in stations fuel dealers(sfd)
In this context, this paper proposes a new methodology for supplier performance evaluation based on the combination of fuzzy inference systems with some of the SCOR metrics.
Among the tools capable of acting as representative models of real systems, fuzzy inference systems are recognized by their ability to provide accurate
At the end, makes a comparison between these models showing the highly competitive performance in terms of power efficiency in predictions, the fuzzy inference blocks in relation to neural networks.
In this sense, this doctoral thesis aims at exploring the integration of fuzzy ontology reasoning with fuzzy inference systems, resulting in the definition and the development of two a.
partial discharge identification and location in power transformers through intelligent systems such as neural networks and adaptive fuzzy inference sy.
and fis fuzzy inference system.