Cloud model based rules extraction algorithm
Zhong Li · Computer Engineering and Applications Journal · 2008
A new scale cloud transform method is proposed firstly.Both the normal semi-cloud model and the shift operator are introduced to that method to make sure that data partition in the method can reflect some information about the actual data distribution,to reduce the number of rules generated by the new method,and to increase the rules’ fitness.Because key points and best breakpoints are exploited,the rules base generated by the proposed method is complete.This paper first presents T-S cloud controller,and gives the simple design process of this new type of intelligent controller based on scale cloud transform.The simulation results show the new method is simple,powerful,and the T-S cloud controller consisted of the rules generated by scale cloud transform can reproduce the original data very well,and can reduce the control error to any degree theoretically.