Performance evaluation of a fuzzy rule base for control purpose

This paper introduces the concept of rule base consistency in a Takagi-Sugeno fuzzy model. A consistency measure is defined based on the agreement between the local behaviour of the output and the local behaviour obtained by aggregating the consequent parameters. This consistency measure is useful, for instance, when designing a controller for a fuzzy model obtained by identification methods. The proposed method is illustrated with the help of two examples