Application of Genetic Algorithms in Product Assessment

In this study, the genetic algorithms and fuzzy comprehensive evaluation were used together to analyze the product assessment data. It is explored which operators were employed and whether everybody used the same operators in fuzzy comprehensive evaluation. It investigated the evaluation made by undergraduates on Master Kong beef instant noodle. The results demonstrated that males used the “max min” compound operator. Females used the “limitary sum min” compound operator. The research shows that genetic algorithms-based fuzzy comprehensive evaluation is useful in the data analysis for instant noodle assessment.