Fuzzy Classifier Using the Particle Swarm Optimization Algorithm for the Diagnosis of Arterial Hypertension

The main objective of this article is the creation of a new fuzzy classifier, using the optimization algorithm by means of particles, to optimize the structures of the type-1 and type-2 fuzzy systems, (such as parameters and type of membership functions, type of system, and number of rules).Tests were carried out with 40 patients and the blood pressure readings of the patients were taken at a time interval for 24 h, and these were taken through an ambulatory blood pressure monitor (ABPM). In this work, good results for Classification and Diagnosis of Arterial Hypertension with the proposed model are shown.