Construction of models for integrated assessment of complex systems based on the phenomenological analysis of the experimental data.
Zvyagintseva A.V.
The principles and theoretical methods for integrated assessment of complex systems through the use of observational datasets and determining the statistical probabilities of events that characterize the state of the systems under study. The main hypothesis of the study related to the ability to create on the basis of experimental data of phenomenological models of systems with different multi-dimensional representation of field data sets, as well as the existence of a scalar field of statistical probability distributions of specific events that most fully reflect the changes in the systems states. As such events may be considered a variety of complex events (both dangerous and not dangerous) that characterize the changes in the systems states, especially the behavior of these systems, or certain situations related to the supervision of dangerous and adverse events or damages. Stated the principles of entropy existence and the potential for a multi-dimensional space of complex system states. It is shown that both the potential and entropy can be taken as generalized criteria for the overall assessment. The elaborated models allow to offer to practice calculated accordings for integrated assessment and multi-parameter ranking of various objects and systems that are distinguished by the use of data analysis objective methods. Integrated assessment, complex systems, phenomenological analysis, multidimensional space, entropy, multiparameter rankings
