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This paper presents the fuzzy system reliability analysis using different types of intuitionistic fuzzy numbers (IFNs). Till now, in the literature, to analyze the fuzzy system reliability, it is assumed that the reliabilities of components of a system follow the same type of IFNs. However, in practical problems, such type of situations rarely occurs. Therefore, in the present paper, a new algorithm...
This study, under the variational Bayes (VB) framework, infers the parameters of a Takagi-Sugeno fuzzy filter having deterministic antecedents and stochastic consequents. The aim of this study is to take advantages of the VB framework to design fuzzy-filtering algorithms, which include an automated regularization, incorporation of statistical noise models, and model-comparison capability. The VB method...
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