An Algorithm for Rule Generation in Fuzzy Expert Systems

Although using fuzzy logic in control systems has become widely established as an appropriate approach, its application in area of pattern recognition and data mining seems to be restricted. These systems have several bottlenecks mainly concerning fuzzy rules generation and fuzzy sets forming. The state-of-the-art technique here is neuro-fuzzy approach which has some disadvantages. In the presented article there considered an algorithm for rules generation based on alternative principles.