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At present, many methods of olfactory research are known, but they have a number of shortcomings associated with the lack of standardization in this field and the lack of objectivity of the obtained information. Thus, it is proposed to increase the objectivity of diagnostics of olfactory analyzer disturbances due to the study of respiratory function based on rhinomanometry. The necessity of using linguistic variables and the fuzzy logic apparatus for formalizing the diagnosis of olfactory disorders with the purpose of increasing the objectivity of diagnosis of respiratory and olfactory disturbances is substantiated. The classification of the degree of impaired perception of odors is proposed, which consists of four intervals. The estimation of the accuracy of the developed classification was 92% and was carried out on the basis of the developed model of fuzzy logical inference of the olfactometric research process, which is based on the Mamdani algorithm, the basis for the rules of fuzzy products was formulated. The model contains three input and one output linguistic variable. The prospect of work is the use of interval fuzzy sets, to identify the permissible deviations in the developed classification of the sensitivity of the sense of smell