Fundamentals for the Automation of Information Processing in the Identification of Chemical-Technological Systems

摘要

The theoretical and methodological aspects of the formalization of an applied task of studying chemical-technological systems in an automated mode under uncertainty to create promising scientific and technical developments are considered. Information processing is carried out by using fuzzy mathematics. Fuzzy numbers are proposed to formalize the source data. This approach has led to dimensionless relative values, which, allow us to build aggregate estimates of a set of criteria, under conditions of multicriteriality. This was the basis for the algorithmization of the decision support procedure when choosing the optimal composition of the polymer composition. As an example, the proposed task of selecting and identifying functional additives to create the optimal polymer composite material in the conditions of technological and informational constraints. Based on the classification of additives, a training set was created, which allowed to generate data for building a decisive rule for identifying the level of activity of the additive.