In this paper we consider the problems of increase of expert system application effectiveness at the expense of structural optimization of their knowledge bases with fuzzy logic and cluster analysis methods. The algorithm of Takagi - Sugeno fuzzy production rules reduction was suggested. The effectiveness analysis of the approach suggested was carried out by an example of the knowledge base taxonomy in a system of not-desirable e-mails filtration for the knowledge base optimization in expert systems.
In this paper we consider the problems of increase of expert system application effectiveness at the expense of structural optimization of their knowledge bases with fuzzy logic and cluster analysis methods. The algorithm of Takagi - Sugeno fuzzy production rules reduction was suggested. The effectiveness analysis of the approach suggested was carried out by an example of the knowledge base taxonomy in a system of not-desirable e-mails filtration for the knowledge base optimization in expert systems.