Estimating null values in relational database systems based on genetic algorithms

In recent years, much research has focused on the research topic of estimating null values in relational database systems. Many methods have been proposed to estimate null values in relational database systems. We present a new method to estimate null values in relational database systems based on genetic algorithms. It can tune the membership functions of the linguistic values of the attributes in relational database systems for estimating null values. The proposed method can obtain a higher average estimated accuracy rate than existing methods.