Emilia Romeo

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In this paper is proposed an algorithm of prediction fuzzy for chaotic time series. This approach has been select because, in presence of specific pathologies, biomedical data may be represented as a chaotic time series [1]. In particular, we are interested in monitoring the intracranial pressure (IP) of some patients in a state of coma who were suffering(More)
The demands of statistical investigations in measurements inspired the remarkable development of probabilistic methods [1]. However, the probability theory didn't prove to be fully adequate for all types of uncertainty. Probability theory is excellent if the ambiguity is to be modelled, but its attempts to describe vagueness is quite inconsistent with(More)
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