Abstract: This paper used the central TSK fuzzy system which is the improved double layer TSK fuzzy system.Compared with the traditional TSK fuzzy system,the CTSK fuzzy system(Centralized TSK Fuzzy System)adopts the upgraded dual-layer TSK fuzzy system and has the following advantages:better interpretability,stronger robustness and approximation capability.However,the time and space complexity overhead greatly limits large or super large data sets.In the light of this limitation,a new algorithm CCMEB-CTSK(CCMEB-based CTSK) was proposed here dealing with large data sets.The algorithm not only preserves the advantages of the CTSK fuzzy system,but also contributes to the high efficiency and rapidity in handling large and super large sample data sets.Through simulation experiments,an ana-lysis of the difference in the performance index and running time of CCEMB-CTSK was made,including different fuzzy rule numbers as well as the difference in the generalization capability and performance robustness of CCEMB-CTSK in noiseless and noisy training samples.

Key words: Fuzzy system,CCMEB,Generalization capability,Robustness