Models for Improving Decision-Making Mechanisms in Regional Economic Management

The article considers the issues of improving decision-making mechanisms in regional economic management based on the integration of graph theory and multi-criteria optimization methods. The author justifies the need to transition from intuitive management methods to the construction of intelligent recognition control systems. The paper presents a two-level model – structural (factorial) and functional (managerial). An extended system of 24 constraints is proposed, taking into account the resource, technological, and social potential of the Samarkand region. The results of the study allow for the algorithmization of the process of selecting priority tasks for regional development and can be used to create software complexes for decision support in state management bodies.