Roman V. Erzhenin, Taisiya P. Hrebtova

Irkutsk State University, Irkutsk National Research Technical University

The article deals with the urgent problem of the priority choice of rural settlements, where it is necessary to improve the conditions for the provision of medical care. For a conceptual understanding of the problem of choosing the optimal solution, a brief thesaurus has been formed and an ontology of the subject area has been developed. As the main selection algorithm, it is proposed to use an algorithm for solving a multicriteria problem based on the theory of antagonistic games, taking into account incomplete information about the preferences of the decision maker. The authors of the article proposed a multi-parameter decision-making model, which includes three main groups of criteria: the availability of medical care, the parameters of the building and the parameters of the medical staff. To prepare data with settlement parameters, nearest neighbor clustering and centroid ratio methods are used. The results of processing the data matrix of the Oeksky bush of the Irkutsk region were tabular data and a graphical display of clusters and their centers on the axis of geographical coordinates. The modified algorithm for processing two matrices made it possible to calculate the optimal distances within the clusters. The solution of the problem of multi-criteria choice on the example of one cluster of the subject of the Russian Federation according to the chosen preferences of the decision maker made it possible to reasonably formulate arguments for making a decision. The developed data model and algorithms for determining the selection parameters can be used as the basis for the formation of the terms of reference for the development of a full-featured expert-oriented system that can raise the quality of decision making to a higher level.

fap; lpr; decision making; multi-criteria choice; cluster analysis; healthcare; expert-oriented system