At the modeling stage, when the developed device reviewed taking into account deficit of reliable information about the conditions of their functioning, detailed description of their dynamic characteristics, the analysis is based on a multistage procedure of optimization of the vector criterion of efficiency, individual components which assess the quality and reliability as at the level of subsystems and devices in General, requires the application of special methods [3].

In addition, at certain stages of the design, to solve specific problems related to clarifying the relationships between the parameters of devices used to build analytical models.
When solving the task of creating HMI for management excimers lasers there are several problems associated with the formalization of procedures schematic design of these devices:

• high dimension of the problem of design, due to the existence of a large number of allowable design alternatives;
• uncertainty of conditions in which the procedure of designing;
• use of the principles of composites engineering.

These problems have a mutual influence on each other, resulting in a specific combination of problems. So, in the process of the composite design, developed complex is divided into a number of functionally separate subsystems. The artificially severed links between subsystems act as uncertain factors until the completion of the development of subsystems and determine their characteristics. Another aspect of the design procedure is connected with the impossibility to calculate the behavior of the complex in all conditions of use and for all modes of operation. In this regard, the design is limited to a lot of variants of application conditions and modes that complex as a whole is capable of effectiveness has been determined to complete the task. Other options form a set of imperfectly expanded conditions of functioning, for which the parameters of the external environment and the characteristics of the complex are uncertain.

These circumstances increase the degree of uncertainty of conditions in which to create new schemes. On the other hand, the reliability of a choice of optimum variant carried out in conditions of uncertainty depends on the amount of objective information about the properties of the developed device. To reduce the risk of selection of unsatisfactory options assessment procedure should precede the stage of analyzing the properties of the projected complex. Moreover, the amount of research will ensure the reduction of uncertainty in the assessment of its properties, that allows to make a reasonable selection. Thus, the set of analyzed design alternatives expands through experiments that can be implemented to increase the amount of reliable information about the future complex, and also due to the possible results of such experiments, that increases the already high dimensionality of the problem of design.

For solving the above problems are developed following the principles of forming the appearance of the complex technical systems with the use of expert systems of decision making support in conditions of uncertainty.
Methods of expert evaluation understand [5] a collection of logical and mathematical procedures to obtain from the experts of the information, its analysis and summary of the purpose of choice of rational solutions. The main purpose of these procedures is to obtain reliable information available subjective evaluations. The expert opinions are processed using appropriate mathematical apparatus, in the result of which are the so-called expert assessments.

The choice of the method of obtaining of expert information is largely determined by the purpose and tasks of the expert assessment. As for the examination of specialists render judgments about the desirability of a set of indicators of efficiency, streamline their importance, are of a subjective assessment of the probability of random factors, the quality space of the main methods of expert evaluation methods are used for ranking, ballroom and point estimates of paired comparison, sorting and their modifications.

2. Vasiliev V.V., Gusev J.M., Efanov V.N. and other multi-level governance dynamic objects. - M: Nauka, 1987.- 309 C.

3. Kofman A. Introduction to the theory of fuzzy sets/ Ed. by M. Travkina. - M: Radio and communication, 1982. - 432 C.

4. Reliability and efficiency in engineering: a Handbook 10 so - so 3: Efficiency of technical systems/ Ed. Century F. Utkin, J.V. Kryuchkova.- M: Mashinostroenie, 1988. - 378 C.