Multivariable type-2 self-organizing fuzzy logic controllers for regulating anesthesia with rule base extraction
Journal
Proceedings - 2013 Conference on Technologies and Applications of Artificial Intelligence, TAAI 2013
ISBN
978-1-4799-2529-2
978-1-4799-2528-5
Date Issued
2013-01-01
Author(s)
Abstract
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. © 2013 IEEE.
Subjects
anesthesia | rules | self-organizing fuzzy logic controller | type-2 fuzzy sets
Type
conference paper