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In hypergame situations, it is important for a player to get the more correct opponent players' outcome preference information. In this paper, based on the principle of fuzzy pattern recognition, a nonlinear programming model is established for integrating opponent players' different outcome preference evaluation values perceived by different experts without weight information. An iteration algorithm...
In this paper, we propose an efficient two-stage iterative method for removing random-valued impulse noise. In the first phase, we use the adaptive center-weighted median filter to identify pixels which are likely to be corrupted by noise. In the second phase, these noise candidates are restored by using an efficient median filter based method. These two phases are applied alternatively. Extensive...
A signal adaptive time-frequency decomposition to extend matching pursuit algorithm-probabilistic matching pursuit is studied. This method is firstly introduced into early fault diagnosis of rolling bearing. It adopts Gaussian wavelet to construct the time-frequency atoms dictionary. Applying probabilistic matching pursuit, we can accurately extract the early defect features by computing coherence...
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