Genetic type-2 self-organising fuzzy logic controller applied to anaesthesia
Journal
TAAI 2015 - 2015 Conference on Technologies and Applications of Artificial Intelligence
ISBN
9781467396066
Date Issued
2016-02-12
Author(s)
Abstract
In this paper, a novel genetic type-2 self-organising fuzzy logic controller (SOFLC) is proposed for anaesthesia control. The genetic type-2 SOFLC has a hierarchical structure consisting of three layers: a basic type-2 fuzzy logic controller, a self-organising mechanism for online adaption, and a genetic algorithm for offline optimisation. The genetic type-2 SOFLC is tested under different levels of environmental noise and compared with basic type-2 SOFLC that does not optimised. The results show that the proposed genetic type-2 SOFLC can perform better than the type-2 SOFLC in the presence of noise in terms of steady state error.
Subjects
anaesthesia | genetic algorithm | self-organizing fuzzy logic controller | type-2 fuzzy sets
SDGs
Type
conference paper