Szukana fraza: [Abstract = While using automated learning methods, the lack of accuracy and poor knowledge generalization are both typical problems for a rule\-based system obtained on a given data set. This paper introduces a new method capable of generating an accurate rule\-based fuzzy inference system with parameterized consequences using an automated, off\-line learning process based on multi\-phase evolutionary computing and a training data covering algorithm.]