AUTOMATED SYSTEM FOR EXPERT EVALUATION OF PROJECT ALTERNATIVES BY CLUSTER ANALYSIS METHODS

The paper discusses the task of analyzing the effectiveness of project alternatives based on data sets obtained by expert evaluation methods. Mathematical statement of the problem and possible approaches to its solution by methods of correlation and cluster analysis are presented. Comparative characteristics of these methods are given and their features, advantages and disadvantages are indicated. The need to automate the processes of solving the problem based on the integrated use of correlation and cluster analysis methods is shown. An information system for expert evaluation of project alternatives has been developed, which ensures acceleration of the examination process, improvement of its quality and an informed choice of the most promising projects.