Abstract
This paper presents a comparison of two different techniques of Soft Computing (SC), in union with a novel approach of a hybrid model with Central Composite Design (CCD) with capacity of performing a rule reduction, without loss of reliability, and also performs a reduction of the computational time spent in prediction. Results obtained with this method show better performance thought generating a minimum error rate when it is compared with the Adaptive Network Fuzzy Inference Systems (ANFIS), or with the least squares method in case of pure the Fuzzy Singleton system.
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