A histogram-based rule extraction technique for fuzzy systems

We propose a histogram-based rule extraction technique using straightforward histogram-based clustering that produces trapezoidal clusters that are well suited for the rule extraction purpose. Two experiments were carried out to validate the feasibility and effectiveness of the proposed technique and show that the rule base generated by the proposed technique is reasonably accurate.