Quantum genetic algorithm: selection of types and forms of correlation in quantum fuzzy inference

This article discusses the development of robust intelligent control systems. Special attention is paid to the algorithm of quantum fuzzy inference, in particular to the stage of determining the type and form of quantum correlation. Automating the choice of the type and form of quantum correlation can be done with the help of a quantum genetic algorithm whose analysis and choice are considered in this article