Intelligent Support of Knowledge Transformation based on Integration of Case-based and Rule-based Reasoning
Tatiana Vladimirovna Avdeenko · 2017
In present paper we propose an approach to support knowledge transformation in the knowledge-based systems facilitating transition of knowledge from the tacit form to the explicit one and vice versa. The approach is based on the dynamic integration of case-based and rule-based knowledge representation model with use of artificial intelligence methods. Efficient algorithm is proposed for conversion of knowledge from the case-based to the rule-based fuzzy representation to solving classification problem.