A simplification process of linguistic knowledge bases

Abstract

This work proposes a new method in order to simplify linguistic knowledge bases. The main goal consists of improving simultaneously accuracy and interpretability when it is possible, or at least ensuring a good tradeoff between them, as well as consistency of the final knowledge base. It is used with linguistic rules which can be defined by expert, induced from data, or both of them. The simplification process is applied to the well known wine classification problem. The results are encouraging.