L. Boiculese, H.Teodorescu, G.Dimitriu
Fuzzy control, exhaustive, trial and error, genetic algorithm, anesthesia control.
The membership functions and rules optimization of a fuzzy controller are focused in this paper. Four optimization methods are addressed: (i) exhaustive method, (ii) trial and error, (iii) genetic algorithm, (iv) a combination of (ii) and (iii). The methods were tested in an application for anesthesia control, using a fuzzy controller with two inputs and one output, implemented on a PC. The results obtained by the classic method, by the trial-and-error (T.E.), by genetic algorithms (G.A.) and by a mixture of G.A. & T.E. are contrasted. The number and type of the membership functions (m.f.), are also taken in account. It is shown that a combination of G.A. & T.E. gives best results in rules deduction.
L.V. Boiculese, G. Dimitriu,
University of Medicine and Pharmacy "Gr.T.Popa",
Department of Informatics,
16 Universitatii Street, Iasi,
Technical University "Gheorghe Asachi"
Department of Medical Electronics,
Bd.Copou no.11, Iasi,
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