Melnyk H. Information risk measurement and management in corporate systems modeling

The dissertation is dedicated to the developing of conceptual, methodological thesis and the systems of economic-mathematical models for the analysis, evaluation and management of information risk in corporate systems. The features and world experience of information risk management are analyzed. The necessity of a comprehensive approach to the analysis and management of information risks in corporate systems is proved. The system of economic-mathematical models was built with the application of the theory and tools of fuzzy sets and fuzzy logic, which can more accurately measure the risk of information and make effective decisions in reducing the risk of possible lost in the corporate systems. Mathematical model of dynamic processes in the management of information risk using fuzzy time Petri nets with inhibitory connections for the rational decision-making is improved. For reasonable decisions about the effectiveness of strategy information risk management in the corporate information systems mathematical models based on fuzzy hierarchical methods was used.