Nikita O. Dorodnykh, Olga A. Nikolaychuk, Alexander Yu. Yurin, Sergey A. Korshunov

Matrosov Institute for System Dynamics and Control Theory of Siberian Branch of Russian Academy of Sciences, CentrSib LLC

Knowledge base engineering remains an important area of scientific research. The efficiency of this process can be enhanced by an automated analysis of existing domain models in the form of conceptual diagrams of various types. In this paper, we propose an approach that can be used to prototype fuzzy rule-based knowledge bases by transforming conceptual models with fuzzy factors. The proposed approach includes: an extended domain-specific declarative language for describing transformation models (TMRL); a technique for automated analysis and transformation of fuzzy conceptual models in XML-like formats; tools in the form of converters for the Knowledge Base Development System (KBDS) supporting the proposed approach. The approach was tested when creating knowledge bases for solving problems of automation of the industrial safety inspection.

knowledge acquisition, fuzzy, fuzzy knowledge base, model transformation, code generation, fuzzy conceptual model, fuzzy event trees