Fuzzy Logic-Based Compliance Assessment for Display Testing in Industrial Measurement Systems

Abstract

The conformity assessment of display testing in industrial measurement systems plays a critical role in ensuring the accuracy and reliability of devices. Traditional conformity assessment methods rely heavily on manual processes, which can be error-prone and inconsistent. This study proposes a fuzzy logic-based system to automate compliance evaluation in display testing, using linguistic variables and fuzzy rules to analyze critical parameters such as accuracy, response time, and allowable error margins. The results indicate that the system correctly classifies 93% of the devices according to established standards, reducing human errors and improving the efficiency of the evaluation process.