ERUDIT-Workshop
Fuzzy Diagnostic and Therapeutic Decision Support
11–12 May 2000, Vienna, Austria
1Department of Automatic Control and Systems Engineering
The University of Sheffield, Mappin Street, Sheffield S1 3JD, United Kingdom
e-mail: h.f.kwok@sheffield.ac.uk
2Department of Surgical and Anaesthetic Sciences
The University of Sheffield, Royal Hallamshire Hospital, Glossop Road, Sheffield S10 2JF, United Kingdom
Abstract. Ventilator control problem in the intensive care unit has been an important feedback control problem in critical care. Although attempts have been made in the past using model-based or knowledge-based techniques, automation is not widely used. Recently, fuzzy control has been applied to this problem. This paper presents two methods of fuzzy membership function derivation. The fuzzy sets will be used for the model based expert advisory system for the ventilators. The two methods are compared and one of them will be used to derive fuzzy membership functions for other variables and parameters in the future.
(In: Adlassnig, K.-P. (ed.) Fuzzy Diagnostic and Therapeutic Decision Support. Proc. of the ERUDIT Workshop, Österreichische Computer Gesellschaft, Vienna, p.144.)