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Fuzzy logic alternative for analysis in the biomedical sciences

I. Virant-Klun
J. Virant
Journal / Anthology

Computers & Biomedical Research
Year: 1999
Volume: 32
Issue: 4
Page range: 305-321

Fuzzy logic brings new possibilities into control, modeling, data analysis, diagnostics, decision making, and other working fields 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 infertle man, with the independent variable Concentration of spermatozoa and the dependent variable Number of spermatozoa by 230 observations.

*Engineering > Control Theory
*Mathematics > Foundations of Mathematics > Logic
*Science > Medicine

ANFIS, estimation, fuzzy fitting, fuzzy inference, fuzzy logic, fuzzy sets, fuzzy regression, human spermatozoa, linear regression, Mathematica, MATLAB, polynomial regression