Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
Neural networks and fuzzy systems: a dynamical systems approach to machine intelligence
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Background: Medical science in the form of "evidence based medicine" demands when measuring any object that object be isolated from others, from context, from the method of measurement and from the observer. Linear non changing relations amongst variables are thus defined which allow prediction based on probabilities and define information from the resulting statistic. Method and Result: It was hypothesized that information of a non statistical nature could be sought in the individual patient. Fuzzy logic and the geometry of fuzzy theory were considered as viable methods for discovery of the process of disease and response to treatment. The result is that variables of interest are allowed to intermingle with others, their context, and the dynamic of these interactions is measured in such a way that the measurer and the measured coexist in each instant. Conclusion: Isolation as a principle of scientific measurement need not be a requirement for attainment of medical knowledge.