Abstract
In this work we will design the interval type-2 fuzzy system (FS), which will be based on the definitions and classifications of the blood pressure loads, which are elaborated by cardiology experts and based on table of ranges, the use of an interval type-2 fuzzy system and the reliability of the FOU (footprint of uncertainty) can allows achieving a 100% effective classification, it should be noted that in previous works experiments with type-1 fuzzy systems have been carried out, the goal is to have a good classification of the blood pressure load which is very important nowadays for a cardiologist, since based on this determine a cardiovascular event, the blood pressure load which indicates that the daytime blood pressure load (% of diurnal readings ≥ 135/85 mmHg) and the nocturnal blood pressure load (% of nocturnal readings ≥ 120/70 mmHg).
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We would like to express our gratitude to the CONACYT and Tijuana Institute of Technology for the facilities and resources granted for the development of this research.
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Guzmán, J.C., Melin, P., Prado-Arechiga, G. (2020). Design of Interval Type-2 Fuzzy Systems for Classification of Blood Pressure Load. In: Castillo, O., Melin, P. (eds) Hybrid Intelligent Systems in Control, Pattern Recognition and Medicine. Studies in Computational Intelligence, vol 827. Springer, Cham. https://doi.org/10.1007/978-3-030-34135-0_16
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