Technological complexes of various industries are characterized by certain modes of operation (techno-logical regulations), which correspond to the set of vari-ables of different nature, which have a high-dynamics of change and determine the main technical and economic performance of the object. The aim of the research is to identify information software approaches to support decision-making in organizational-technical (techno-logical) systems. Research results are obtained through grouping, generalization and comparison methods. The scientific significance of the results are to determine the objective need to use intelligent decision support subsys-tems to quickly manage complex organizational-tech-nical systems based on both: clear and formalized data and knowledge and high-quality fuzzy estimates.
