Application of fuzzy logic for decoding and evaluation of results within the process of information system components diagnosis

The results of research and application of fuzzy logic on the control systems in the "atypical" (not in technical) area are offered. This is an estimation of testing diagnosis results within control system of education quality. To increase the accuracy and reliability of estimation of results of a given study in competence-based format, it is possible to use approved approaches and methods from contiguous scientific areas. We propose using the logic for uncertainty removal when decoding the results of test diagnosing levels in the development of competencies and their components. The adaptation of basic definitions of fuzzy logic to the set subject domain is executed. Approaches to solve the problem of acquired competence estimation are given as well as illustrative examples, which show the basic capabilities of the proposed methods, and their robustness. An algorithm is proposed for decoding the results of test diagnosing levels in the development of element competencies, constructed on the basis of concepts adapted to fuzzy logic definitions and methods. An example and the results from research carried out in MatLab Fuzzy Logic, showing the robustness of the proposed decoding algorithm, are provided.