Information granule formation via the concept of uncertainty-based information with Interval Type-2 Fuzzy Sets representation and TakagiSugenoKang consequents optimized with Cuckoo search
A technique for forming information granules is presented in this paper. Based on the theory of uncertainty-based information, an approach which forms information granules is presented. Two implementations are proposed which form Interval Type-2 Fuzzy information granules. These approaches capture multiple evaluations of uncertainty from different samples and use these models to measure the uncertainty from the difference among them. The proposed approaches are tested with classification and curve identification benchmark datasets with very good results.
information granule formation interval type-2 fuzzy sets takagisugenokang cuckoo search granular computing