(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-11) LEITE, Yago Ruan Binda; NASCIMENTO, Manoel Henrique Reis
This research implements a fuzzy inference model to support the preliminary technical analysis of taximeters, aiming for greater accuracy and reliability in inspections according to Ordinance No. 124, March 24, 2022. The methodology was structured in three phases: identification of technical indicators, fuzzy system modeling, and model experimentation. Using Matlab R2013a - Fuzzy Toolbox, variables, fuzzy sets, and inference rules were defined. Results indicated that the model replicates real inspection conditions, reducing subjectivity and promoting uniformity in evaluations.
