To improve the efficiency of the design engineer, the use of design automation systems is required. Currently, computeraided design tools are multifunctional and have an expanded user interface. Depending on the scope of the task to be solved and the level of training, the design engineer does not need all the means of computer-aided design systems. In this case, an adaptive interface can serve as a means of increasing labor productivity, which can be customized for a particular user, taking into account his experience and physiological features (system experience, computer literacy, experience working with such programs, typing, color blindness, memory, hand motility). The characteristics by which a user system is evaluated have different degrees of uncertainty, ambiguity, and internal inconsistency. These characteristics are difficult to formalize and they are very specific. To perform the evaluation, it is advisable to use intelligent systems based on fuzzy logic and fuzzy sets. The most acceptable in this case is the Mamdani method which uses a minimax composition of fuzzy sets. The proposed mechanism includes a sequence of actions: fuzzification, fuzzy inference, composition, defazzification. A software development system has been developed that allows you to form an interface part of the software taking into account the capabilities of a particular user. The implementation of the developed software system allows you to select a set of elements individually for each design engineer and form an adaptive prototype of the application program interface. In this case, it becomes possible to improve the interaction between a person and a computer, make it more comfortable, reduce the time to search for the necessary functions and the number of erroneous actions, and improve the quality of the work done.
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