The Application of Hybrid Intelligence Systems for Dynamic Data Analysis

Abstract

The paper presents the results of scientific research, which were carried out under the set goal and solve the urgent task of developing and improving methods, models, and information technologies for assessing the states of complex spatially distributed objects based on evolutionary interval fuzzy models. A hybrid model for evaluating spatially distributed objects is proposed, which integrates developed fuzzy color Petri nets, models of deterministic, stochastic, and fuzzy knowledge bases, and the logic of manifestation of their interaction. The development allows increasing the probability of making decisions while reducing the dimension of the model by expanding the color function and the function of displaying spatial data. Alternative methods and tools for operational analysis in information technologies for assessing the states of complex spatially distributed objects have been introduced. This made it possible to reduce the influence of the subjective factor on the assessment results and increase the reliability of decisions made while reducing the time spent.