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Deriving samples from incomplete data

In this paper, based on the principle of information diffusion, we suggest a model to derive some samples from incomplete data. By this way, we use our initiative to open up fuzzy information in incomplete data. We give some simulation results which show that the information gaps caused by incompleteness can be filled, in some degree, by the derived samples.