Analysis of Fuzzy Data for Polymer Production Quality Management

The problem of polymer products quality management is considered. The requirements for polymers are formed on the basis of consumer qualities and conditions of the technological process of their production. Management is proposed to be carried out by selecting a polymer matrix and the composition of the composite ingredients. To do this, the components of the polymer composition are evaluated on the basis of a fuzzy analysis of their properties. Specific cases and the problem solution are given by these examples. The results of the research develop the mathematical substantiation of intellectual systems for supporting the research and production activities of a chemical technologist in the modeling of linguistic resources and can serve for making informed decisions, for example, when optimizing the composition of composite substances. Fuzzy numbers were used to formalize the initial data, resulting in a parametric space describing multicomponent systems. The calculation of the correspondence index for each parameter of the system in terms of the mandatory requirements made it possible to proceed to relative dimensionless real quantities. The weighted voting procedure was used as an aggregate function. The obtained value reflects the integral measure of the chemical-technological system compliance with the requirements.