Visualization of Membership Distribution in Strings Using Heat Maps

Grammar inference methods allow us to create grammars and automata based on provided data. Those automata can be utilized as classifiers for yet unknown strings. Fuzzy sets theory allowed the implementation of a gradual level of strings’ membership and made effective error handling feasible and automata classifiers more applicable in real-life tasks. In this paper, we reversed the currently existing approach - instead of focusing on the whole string membership, we made an approach to determine membership distribution throughout string letters and visualize it using a heat map.