Avtor/Urednik		Virant-Klun, I; Virant, J
Naslov		Fuzzy logic alternative for analysis in the biomedical sciences
Tip		članek
Vir		Comput Biomed Res
Vol. in št.		Letnik 32, št. 4
Leto izdaje		1999
Obseg		str. 305-21
Jezik		eng
Abstrakt		Fuzzy logic brings new possibilities into control, modeling, data analysis, diagnostics, decision making, and other working fields in biomedical sciences. This paper presents how fuzzy logic can be used as an alternative or supplement to statistics in biomedical analysis. It shows an adaptive neuro-fuzzy inference computing in comparison with linear and curvilinear regression. The main goal of this presentation is to involve fuzzy logic in biomedical research. Thus, we carried out a mathematical treatment of the clinical sample, semen of infertile man, with the independent variable Concentration of spermatozoa and the dependent variable Number of spermatozoa by 230 observations.
Deskriptorji		FUZZY LOGIC BIOMETRY SPERM COUNT INFERTILITY, MALE DATA INTERPRETATION, STATISTICAL LINEAR MODELS MODELS, BIOLOGICAL REGRESSION ANALYSIS