The work is devoted to improving the quality of differential diagnosis of early stages of
cognitive impairment in terms of fuzzy description of the studied classes of States.To assess the
functions of attention, a device developed at the Department of biomedical engineering of SUSU is used
to determine such properties of attention as concentration, volume, selectivity, switchability,
distributability and stability. As a mathematical apparatus is used, the hybrid methodology for the
synthesis of fuzzy decision rules. The basic element of which is the function of belonging to the studied
classes of States (norm, mild cognitive impairment, moderate cognitive impairment, initial clinical
stage) with a basic variable determined by the scales of the selected properties of attention.The decision
on classification is made by the maximum value of the analyzed membership functions.The obtained
mathematical models allow to diagnose the early stages of violations of all the studied functions of
attention. Expert confidence in the obtained mathematical models exceeds 0.8. If, together with the level
of attention, additional indicators characterizing the functional reserve, levels of psycho-emotional stress
and fatigue and energy imbalance of the Meridian structures of the body are used, confidence in the
correct classification of the early stages of attention disorders reaches a value of 0.9, which allows us to
recommend the results in practical psychology and medicine.
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