یک سیستم فازی ژنتیک سلسله مراتبی مبتنی بر برنامه نویسی ژنتیکی برای طبقه بندی با مجموعه داده های بسیار نامتجانس و مرزی

An experimental study is carried out over highly imbalanced and borderline imbalanced data-sets which is completed by a statistical comparative analysis. The results obtained show that the proposed model outperforms several fuzzy rule based classification systems, including a hierarchical approach and presents a better behavior than the C4.5 decision tree.