IMPROVING THE QUALITY OF MANAGEMENT DECISIONS MAKING AT THE ACCOUNT OF USING THE INTELLECTUAL RECOMMENDATION SYSTEM

Abstract

The article considers the essence and content of the process of making managerial decisions in the activities of higher education institutions. It is determined that a quality management decision in the context of higher education institutions is the result of analysis, forecasting, economic justification and choice of alternatives from a variety of options aimed at achieving sustainable development of higher education institutions. The essence of the intelligent recommendation system of management decision support is described, the use of which allows managers to combine their own subjective advantages with machine analysis of the situation in making recommendations in the management decision-making process aimed at achieving certain goals of higher education. The advantages of an intelligent recommendation system in comparison with traditional automated management decision support systems are determined. The main functions of the intelligent recommendation system to support management decisions are considered, including: situation analysis; generation of possible management decisions to solve the tasks; evaluation of generated scenarios and selection of the best; ensuring constant exchange of information on the status of the decision and coordination of group decisions; modeling of decisions; computer analysis of possible consequences of management decisions; collection of data on the results of implementation of management decisions and evaluation of their results. The main ways to improve the quality of management decisions in the activities of higher education institutions to ensure their sustainable development are identified. The expediency of using an intelligent recommendation system of decision support to improve the quality of management decisions in the activities of higher education institutions in order to achieve sustainable development is substantiated. It is proposed to combine the knowledge and experience of managers with automated support of this process to improve the quality of management decisions in the activities of higher education institutions and to achieve sustainable development, which will increase the validity of management decisions through the use of intelligent recommendation system to support management decisions.