(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-10-01) SOUZA, Márcio André de Oliveira; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JUNIOR, Fernando Cardoso de
This study presents the development and implementation of a fuzzy logic-based system aimed at automating the compliance evaluation process for display testing in industrial measurement systems. The fuzzy inference system was programmed in Python, using linguistic variables and fuzzy rules to assess performance parameters like accuracy, response time, and error margins. Results showed that the system classified 93% of devices in accordance with established compliance standards, improving the reliability and efficiency of display testing in industrial environments.
