Using the method of pairwise comparisons for the multifactor selection of infographics design alternatives

On the basis of theoretical research, we worked out a number of literary sources, which indicate the importance of infographics and the correctness of the information submission. To systematize the received information and solve the problem of recommendations for the creation of qualitative, understandable infographic design, it was proposed to use the theory of graphs and the method of pairwise comparisons. Using this technique, we carried out the study of the factors influencing the compositional design of infographics and established the importance of the technological process for the design of high-quality infographics. We developed the hierarchical model of the factors priorities of infographic composite design. In particular, we carried out the evaluation and optimization of the developed model, by using the pair comparison method and the relative importance scale at Saaty. The method of the hierarchy analysis provided an opportunity to evaluate elements of higher levels, based on the interconnection of different levels of the hierarchy, and not with the direct dependence of the elements on these levels.Three different design projects of infographics were explored. From the results obtained, the most effective in terms of perception and memorizing the information was a project that focused on textual design using graphic elements to enhance visual perception of information.These studies have found that the use of pairwise comparisons makes it possible to compare factors that cannot be qualified and quantified. The received calculations allow us to confirm the reliability of obtaining a high or low consistency of the results of expert surveys.