Multivariable Type-2 Self-Organizing Fuzzy Logic Controllers for Regulating Anesthesia with Rule Base Extraction

In this paper, three different self-organizing fuzzy logic controllers (SOFLC), type-1, interval type-2 and zSlice general type-2 are used in the simulated control of anesthesia. Experimental results show that both the type-2 SOFLCs have better performance in comparison to the type-1 system. Based on the performance results, we then select the interval type-2 SOFLC to analyze rule usage during real-time regulation and control of anesthesia. Based on this we extracted a new reduced rule base which can provide a better basis to further research in understanding the SOFLC dynamic control behavior.