DEVELOPMENT OF THE ARCHITECTURAL SOLUTION OF AN INTELLIGENT DECISION SUPPORT SYSTEM AND SELECTION OF THE OPTIMAL SOLUTION

This study comprehensively investigates theoretical and practical issues related to the development and implementation of intelligent decision support systems used in the management processes of commercial enterprises. Functional and technical requirements for the architectural structure of these systems are identified, and an optimal architectural solution is scientifically selected through comparative analysis of various alternatives. The effectiveness of decision support systems in managerial decision-making is analyzed in terms of efficiency, responsiveness, and accuracy. The impact of implementing intelligent decision support systems on business process effectiveness and rational use of resources in the modern business environment is evaluated. It is substantiated that soft computing methods – such as artificial neural networks, fuzzy logic, and genetic algorithms – significantly expand decision-making capabilities under conditions of uncertainty. It is demonstrated that the proposed modular architectural approach for commercial enterprises enhances management quality and competitiveness