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Attribute reduction for set-valued data commonly took into account the distance or similarity between attribute values. However, little attention has been paid to the problem that sample labels can affect attribute reduction. This paper studies the attribute reduction for set-valued data based...
This paper proposes a comprehensive mixed-sensitivity control design for an experimental magnetic levitation (Maglev) system. The control strategy can be seen as an extension of the loop-shaping procedure for discrete-time linear parameter-varying (LPV) systems using linear-fractional...
Axiomatization is a lively research direction in fuzzy rough set theory. Fuzzy variable precision rough set (FVPRS) incorporates fault-tolerant factors to fuzzy rough set, so its axiomatic description becomes more complicated and difficult to realize. In this paper, we present an axiomatic...
Given the existing observations, regression is necessary to predict the relationship between the response variable and the explanatory variable. In general, we assume that the observed data are precise, but in actual life, precise observations are often difficult to be obtained, and most of them...
In this paper, we consider the stress-strength reliability where the strength Y of a component lies between the dependent stress variables and . We propose a copula-based approach for stress-strength reliability having bivariate stress. We obtain R for Farlie-Gumbel-Morgenstern copula with...
Most short-term passenger flow prediction methods only consider absolute errors as the optimization objective, which fails to account for spatial and temporal constraints on the predictions. To overcome these limitations, we propose a deep learning-based spatiotemporal graph generative...
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