FUZZY MODELING OF BIOTECHNOLOGICAL PROCESSES: A CASE STUDY OF ENRICHED KAOLIN PRODUCTION

Abstract

This article investigates the mathematical modeling of biotechnological processes based on fuzzy logic, using the technology of enriched kaolin production as an example. In industrial production, deep processing of natural mineral raw materials, improvement of their quality characteristics, and implementation of environmentally friendly technologies are of significant scientific and practical importance. Iron oxides and other mineral impurities contained in kaolin adversely affect its whiteness, chemical composition, and functional properties. The use of microorganisms for the biological leaching and removal of iron compounds is considered a promising approach to addressing this problem. The complexity of the biological enrichment process, its dependence on multiple factors, nonlinear dynamics, and variability in the initial raw material composition make it difficult to describe the process with sufficient accuracy using conventional deterministic models. Therefore, this article proposes a mathematical model based on fuzzy set theory, linguistic variables, membership functions, and a fuzzy inference algorithm.