The article presents a basic model for information support of decision-making designed to enhance the efficiency and resilience of organizational systems within the information security units of the Russian Ministry of Emergency Situations (EMERCOM). The model constitutes an integrated, multi-level system based on the interaction of five interrelated mathematical models: data collection and preprocessing, automated classification, situation forecasting and analysis, decision option generation, and knowledge management. To enhance the model’s functionality and adaptability under conditions of uncertainty, the following formulas have been introduced: assessment of data processing system workload; automatic calibration of weighting coefficients based on forecast error minimization; calculation of information source credibility index; weighted event evaluation accounting for source credibility; decision explainability using the SHAP method; and knowledge utility metrics together with criteria for knowledge archiving. These formulas ensure objectivity, transparency, and robustness of management processes, enabling rapid response to cyber threats, minimizing the impact of human factors, and maintaining high-quality managerial decision-making.

Keywords: information support, decision-making, organizational system, basic model, explainability of decisions, knowledge management

The paper presents a methodology that includes stages of task performance control, data collection and analysis, determination of reliability and efficiency criteria, reasonable selection, communication, implementation and control of the results of management decisions. A cyclic algorithm for comprehensive verification of compliance with the reliability and efficiency criteria of the system has been developed, allowing for prompt response to changes, increased system stability and adaptation to adverse environmental impacts. Improved mathematical formulas for assessing the state of organizational systems are proposed, including calculation of the readiness factor, level of planned task performance and compliance with established requirements. The application of the methodology is aimed at increasing the validity of decisions made while reducing the time for decision-making, as well as ensuring the relevance, completeness and reliability of information in information resources in the interests of sustainable development of organizational systems.

Keywords: algorithms, time, control, reliability and efficiency criteria, indicators, resources, management decisions, cyclicity

A set of techniques for obtaining retrospective, statistical, expert information, data integration, competence deficit assessment and knowledge management to compensate for competence deficit in organisational systems is presented. For the purpose of practical implementation of an integrated approach to improving the management of organisational systems, a model and an algorithm for obtaining data by applying a set of techniques have been developed. In the future, the proposed methodological solutions will significantly improve the efficiency of organisational systems management through the rational application of automated management systems with components of trusted artificial intelligence.

Keywords: algorithm, critical events, integration, information resources, recommendations, systematisation, efficiency