This document discusses evaluating driver perception of service quality from variable message signs using fuzzy systems. It presents a method using fuzzy set theory and membership functions to quantify subjective human perceptions from survey data. Drivers completed a survey rating their satisfaction with six criteria of VMS quality on linguistic scales. Fuzzy membership functions were constructed to transform the survey responses into fuzzy numbers. Individual perceptions were aggregated using fuzzy arithmetic operations. The final fuzzy set represented the overall group perception, which was defuzzified into a single value indicating satisfaction level considering perception variability and criteria importance. This allowed numerical evaluation of service quality incorporating the complexity of human perception.