Abstract
This paper presents decision algorithm based on fuzzy relation developed for the multistage pattern recognition. In this method – assuming that the learning set is given – first we find fuzzy relation in the product of feature and decision space as solution of an optimisation problem and next this relation is used in decision algorithm. The application of presented method to the computer-aided diagnosis of myocardial infraction is discussed and compared with algorithms based on statistical model.
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Kurzynski, M. (2004). Multistage Diagnosis of Myocardial Infraction Using a Fuzzy Relation. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_158
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DOI: https://doi.org/10.1007/978-3-540-24844-6_158
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22123-4
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