The dissertation is devoted to the solution of important problem in technical sciences, associated with telecommunication networks' designing efficiency increasing by more accurate forecasting of users' requirements to them and, respectively, by formalization of these requirements' changing process and determining of the required volume of measurements for the information-communication services' quality parameters. The scientific value of the work consists in the proposed analytical model of users' requirements changing's consideration, allowing improvement of telecommunication networks' design. The model, instead of the existing ones, is based on the logistic function, which is being formulated by usage's mathematical conditions and features, determining the networks characteristics. It is firstly proposed to describe users' requirements to telecommunication networks by usage of quality integral indicator, allowing, instead of the existing ones, to take into account simultaneously variability of several parameters by usage of multifactor regression model with robust statistical methods in order to can receive effective evaluation in unusual cases. It is firstly proposed forecasting method for users' requirements change that uses logistic function, allowing determination of the forecasting error depending on the execution period. Telecommunication networks' users classification is further developed by means of cluster analysis methods. The classification is based on users' requirements to the networks, which are described in ordinal, dichotomous and quantitative scale. List of services, which is mostly special to users' certain classes, is formulated as well as these users' requirements to the network. This allows networks development's proper planning to operators for the users' needs satisfaction. The practical significance of the results consists in expert system, based on the formal description of users' requirements to information-communication services' rendering and multi-level model. The expert system allows increasing of design accuracy by reducing the labor and requirements for designers' skill. The proposed method of setting the lower, upper limit and mean values of observation time provides reliability of the right decision's adoption with the error rate that does not exceed a predefined, ranging within 3…9%. Retrospective analysis of changes in users' requirements to telecommunication network, serving a suburban area, carried at the research of system performance by comparing the results, obtained by usage of the expert system and without it, showed that the expert system's usage improves the forecasting accuracy and efficiency at 12% as well as reduces the labor at 23%.
