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 trade-off between them, as well as consistency of the final knowledge base. It is usedwith linguistic rule swhich 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.
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