An inference system based on fuzzy logic.
We present the use of fuzzy set theory for the management of imprecision and uncertainty. We first introduced fuzzy set theory according to two different perspectives: the logical and the possibilistic/probabilistic point of view. In addition, several examples of fuzzy sets in different contexts have been considered. The nature of imprecision in the measurement process has been investigated at various levels in order to identify different sources of uncertainty. The fuzzy inference system presented has proved to be a good tool for treating linguistic terms in a quantitative way. An application of a fuzzy inference system in computerized electrocardiography will be described. The main purpose of the present study is to show the potential use of fuzzy logic for the treatment of imprecision and uncertainty.
LADSEB-CNR, Cordso Stati Uniti, Padova, Italy.
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Bortolan
D000293:Adolescent; D004562:Electrocardiography; D017143:Fuzzy Logic; D006801:Humans; D008297:Male; D011336:Probability; D012815:Signal Processing, Computer-Assisted