In this paper

we discuss a new method for rule extraction based on hyper-box representation.The method is deducted from the MRCC model

used for pattern classification.The method partitions the pattern space with multi-dimensional fuzzy hyper-boxes

and assigns a class label with certainty degree for each variable fuzzy region.These rules are extracted from numerical data through a recursive learning procedure.Experiment shows the efficiency of rule extraction procedure.