Automatic Extraction of Linguistic Description from Fuzzy Rule Base

Nowadays, artificial intelligence is a very fast-developing field in computer research. Tools of artificial intelligence (AI) are commonly based on knowledge models. They may be completely unreadable for humans (eg weights of intersynaptic links in artificial neural networks) or may have a human-friendly form (eg decision trees, rules). Neuro-fuzzy systems are a method of artificial intelligence. They elaborate intelligible models based on fuzzy rules. The rules can be read and interpreted by humans. Thus, neuro-fuzzy systems are an example of explainable artificial intelligence (XAI). In this paper, we present an automatic transformation of rules elaborated by NFS into linguistic sentences in the natural English language.