Visual analytics in the case of multicriteria optimization

The paper considers the issue of multidimensional data analysis in the field of decision making. The authors made the formal problem statement in the general case and gave the example of the analysis for an optimization of a two-mass dynamic model. The visualization method was applied as the data analysis method. The method was shortly described. In addition, a detailed description of a visualization pipeline which was used for problem solving was given in the article. The authors formulated three types of judgments that can be made by an analyst and created the algorithm for the problem solving, which is based on the visualization method. The software tool called “Visual Analytics Tool” was developed. This article contains the description of this program. It is based on the visualization pipeline and allows to analyze multidimensional data using the algorithm. The results of data analysis, which was conducted with the tool, is given. They contain the description of: the sensitivity of the optimization task's solution, the clustering process of the alternatives, which are close to an ideal, and the correlation between functional limits and objective functions values. © 2018 National Research Nuclear University. All rights reserved.