Analytical and Procedural Fuzzy Models for Processing Multidimensional Data
Fuzzy analytical and procedural models are proposed for processing digitized multidimensional data obtained as a result of monitoring. When analyzing information flows, the processing of monitoring data is described on the basis of fuzzy LR-numbers, knowledge of the optimal coefficients of the representation functions of these numbers L(y) and R(y) are determined. The obtained analytical models allow us to formalize nondeterministic information about the parameters of the information or the flow of multidimensional monitoring data and determine the optimal distribution of these flows. The proposed procedural models allow determining the possibility of effective personal information flow distributions, calculating to the architecture a natural assessment of the performance of multidimensional data in a stream, assessing the fulfillment of users' requirements for these data, and determining such bottlenecks in data streams.