UDC 004.023
CONSISTENCY ANALYSIS OF SPECIALIST VIEWS UNDER CONDITIONS OF CONTRADICTORY EXPERT ESTIMATES OF PROJECT ALTERNATIVES
S. V. Skvortsov, Dr. in technical sciences, full professor, RSREU, Ryazan, Russia;
orcid.org/0000-0001-9495-4953, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
V. I. Khryukin, Ph.D. (in technical sciences), associate professor, RSREU, Ryazan, Russia;
orcid.org/0000-0002-7736-115X, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it.
Т. S. Skvortsovа, Ph.D. (in technical sciences), lecturer, Academy of the FPS of Russia, Ryazan, Russia;
orcid.org/0000-0001-7504-5973, e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..
The task of identifying groups of specialists with agreed views on the effectiveness of project alternatives for a ranking method with the possibility of using related ranks is considered. The limitations of known methods of correlation and cluster analysis for solving this problem in the conditions of contradictory expert estimates are shown. The aim of this work is to develop and substantiate the approach to analyze the consistency of expert estimates with the ambiguity of the opinions of specialists, based on group rank correlation usage. Quantitative indicators for consistency of expert group views are proposed. An iterative algorithm to find acceptable options for distributing experts by group has been developed, which allows you to automate the search for agreed expert opinion in decision support systems.
Key words: expert estimates, Spearman correlation coefficient, concordance coefficient, cluster analysis, project alternatives ranking, related ranks, expert groups, estimates consistency, decision support systems.