Body Mass Index Classifier Using Type-1 Fuzzy Logic: The Case Study of Mexico

Abstract

Fuzzy logic offers significant benefits for solving real-world of knowledge. The main objective of this article is to design a
system based on the theory and concepts of Type-1
fuzzy logic to determine the Body Mass Index (BMI)
category of an adult population in Mexico. The World
Health Organization (WHO) establishes certain
parameters for this calculate, based on the data
presented in the Body Mass Index table published on the
official website of the Mexican Social Security Institute
(IMSS). According to the data presented by the IMSS,
the body mass index can be determined by knowing a
person's weight and height. This understanding serves
as the basis for creating the inputs, outputs, and rules of
the Type-1 fuzzy system, with the goal of validating the
correct classification based on a person's BMI. The
results will be validated using the Body Mass Index
Table to assess the performance and accuracy of the
proposed fuzzy system.