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The Forecasting, Early and Differential Diagnostics of Occupational Diseases of Vehicle Drivers with the Help of Fuzzy Models


G.V. Chursin, N.A. Korenevsky, A.A. Burmaka, R.A. Krupchatnikov

The distinctive feature of current work is that solving of problems of forecasting, early and differential diagnostics is suggested to be carried out with the help of fuzzy rules that combine membership functions introduced in Zade’s works with E, Shortliff’s certainty factors which parameters are defined with the help of exploration analysis. Different-type factors characterizing driver’s working conditions , ecological factors and specific risk factors aggregate in received fuzzy rules. Considering the important role of vehicle ergonomics in occurrence and development of occupational diseases the method of synthesis of fuzzy decision rules for definition of ergonomics level of technical systems which is the component of fuzzy rules for forecasting and diagnostics of researched disease class is suggested. The sets of fuzzy decision rules for forecasting and diagnostics of such diseases as pneumatic hammer disease and cochlear neuritis that is widespread among the drivers of agricultural sector of Kursk region are suggested as practical examples in current work.
June 24, 2020
May 29, 2020

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