Abstract
The solution to the problem of the interpretation of a particular system is approached on the basis of a search for relationship between its behaviour and certain signs that can be observed in an often complex or noisy environment, and which are identifiable with certain events and other regularities that can be grouped together under the general term, pattern. In recent years there has been growing interest in the representation and recognition of patterns in the evolution of a particular system, more specifically, in the development of models permitting their integration into information systems in which time plays a fundamental role.
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Félix, P., Barro, S., Lama, M., Fraga, S., Palacios, F. (2002). A Fuzzy Model for Pattern Recognition in the Evolution of Patients. In: Barro, S., Marín, R. (eds) Fuzzy Logic in Medicine. Studies in Fuzziness and Soft Computing, vol 83. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1804-8_10
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DOI: https://doi.org/10.1007/978-3-7908-1804-8_10
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