Abstract <p>The need for intelligent decision support based on transparent and adaptive models in infrastructure systems is growing as management tasks become more complex. Methods for integrating modern machine learning and explainable artificial intelligence (XAI) approaches into domain-specific systems (DSSs) are considered. The purpose of this work is to study intelligent data analysis methods and their integration into domain-specific systems to support decision making in infrastructure management. The object of this study is intelligent data analysis techniques and decision support processes in the infrastructure sector, and the subject of this study is methods for improving the quality, transparency, and adaptability of decisions through their integration into DSSs. Current publications are reviewed; methods are classified; and criteria for their selection as applied to infrastructure management are formulated. Prospects for further research are outlined.</p>