A fuzzy model for the assessment of factors affecting the choice of an institution of higher education

Abstract

The proposed approach to the formalization of models of development projects and the development of a higher education institution (HEI) provides the possibility of modeling (research), processes of training future specialists and development with the selection of points of origin of projects for the implementation of management tasks. This makes it possible to simplify the description of the main processes of vocational training and to build models for the analysis of improvements through the system of quality and development in the training of specialists in vocational training. In order to conduct higher education diagnostics and form harmonized decisions in higher education development programs in the system of higher education, it is advisable to use programs for the development and management of business processes, the management functions of which are focused on the analysis of the state of the higher education institution and management functions that ensure a successful and less expensive result of higher education development with taking into account the increased requirements of the external environment and the labor market. One of the conceptual provisions of the development of information technologies and education management systems is the further development of information provision in the formation of a single perfect information environment, informatization of education management systems, and evaluation of the quality and effectiveness of training specialists for the production industries, taking into account the requirements of the labor market, production and modern development of science. The proposed technique and method of comprehensive assessment of the quality of education of graduates of higher education institutions with the help of IT on the basis of indicators and indicators of quality, according to quantitative and qualitative factors, their composition, taking into account the needs of production, the requirements of the external and internal and educational environment. Thus, the main technology of education quality management is the most widespread component of artificial intelligence - fuzzy systems. Thanks to its combination with classical models and methods of ensuring the process of management of higher education institutions, it was possible to obtain wider opportunities for working out those parameters that until then had not been considered due to their qualitative nature. It is advisable to include the following input components to the main indicators: finance, training and development, competence, satisfaction, requirements and assessment of higher education institutions, etc.