About the formation of the knowledge base for fuzzy control system ofpricing in the pharmacy network

This article offers the approach to the formation of a knowledge base in the form of a set of fuzzy production rules. It is assumed that the parameters characterizing a complex system are divided into basic and additional, which depend on the basic ones. To describe the trends of the basic parameters, a linguistic scale is formed. Using a special clustering method, the typical states of a complex system are determined, as well as the critical values of additional parameters. Each production rule establishes a correspondence between the typical state and the critical values of additional parameters. The proposed approach was tested in the task of managing pricing in the pharmacy network by determining the optimal mark-up value for pharmaceutical products using an expert system.