ВЫЧИСЛИТЕЛЬНЫЕ МОДЕЛИ И ТЕХНОЛОГИИ ДЛЯ ПОЛУЧЕНИЯ ИНФОРМАЦИОННЫХ ОЦЕНОК ИЗМЕНЕНИЙ СОСТОЯНИЙ НЕОПРЕДЕЛЕННОСТИ ПАРАМЕТРА

Abstract

The paper considers the issues of further development of computational models for obtaining information estimates of changes in the uncertainty states of various parameters. The proposed models are based on the analysis of changes in the values of entropy potentials and the corresponding basic values used to characterize the states of uncertainty of parameters at various stages. Such models are in demand, for example, for the organization of operational monitoring and management of uncertainty states of parameters in software and parametric control systems, where the basic values can change very significantly. The estimates obtained are objective and unified based on the information generated by the change in these states. The proposed models are compact and convenient for finding information estimates in various situations. The use of the proposed model variants will contribute to improving the efficiency and efficiency of monitoring and managing changes in the uncertainty states of parameters of objects and systems of various nature.