The paper proposed two approaches to choose the scheme taking into account factors of risk and uncertainty at the stages of development of technical proposals and preliminary design of the ASU, part of the new development of organizational-technical systems (OTS).
The first approach is based on the use of the theory of fuzzy sets. Based on this technique allows a quantitative evaluation of the truth of the expert report on the progress of work on the ASU project, to assess the risk of failing to meet customer requirements on indicators such as the number of objects that can operate ASU; duration solutions information and calculation tasks; the time required to collect information about the accepted objects; the time taken to pass control information to the Executive authorities; the degree of protection from ASU information influence of the enemy; the degree of protection from ASU physical forces of the enemy. Each of these indicators is regarded as a linguistic variable consisting of the following terms: "very low level"; "low level"; "average index level"; "high level"; "very high level".
The second approach takes into account the fuzzy nature of the requirements for the performance of OTS, inevitable for the early stages of the life cycle of the OTS and ASU. On the example of estimation of efficiency of functioning of the subsystem of data transmission (SDT) developed a methodology for the justification of requirements to the parameters of the SDT, providing a guaranteed likelihood of the control signal is not below the legislative level. This takes into account that in the early stages of the life cycle of OTS can be addressed either "direct" objectives of the study the effectiveness or "reverse". Direct problems consist in calculation of basic or partial indicators of the effectiveness of the SDT. The inverse problem can be grouped into three classes: structural synthesis of automatic control system, ASU and parametric synthesis, algorithmic synthesis of control systems. The granularity of the developed techniques is determined by the accuracy of the forecast of the situation, which will be implemented by the use of the OTS and the functioning of the ASU.