RO  EN
IMCS/Publications/CSJM/Issues/CSJM v.30, n.3 (90), 2022/

Graph-based decision making for varying complexity multicriteria problems

Authors: Oleksandr Nesterenko, Igor Netesin, Valery Polischuk, Yuri Selin

Abstract

In the modern world in various spheres of activity, the number of problems that need multi-criteria decision-making (MCDM) is constantly increasing. Researchers and experts offer a number of approaches to MCDM process in such tasks; in particular, most of them are based on expert methods. However, in practice, these methods require significant intellectual effort of experts and organizational and technical workload during the expert survey, and also usually take a long time. At the same time, it is not always possible for experts to use certain characteristics of alternatives, which also carries the risk of making decisions based on unfounded expert opinions. Therefore, such methods and tools should be clear and informative and at the same time easy to use to ensure the efficiency and effectiveness of their use. We offer a graph-based approach to expert decision-making and information visualization processes that meets these requirements and can significantly improve the efficiency of decision-making in multi-criteria selection tasks.

Oleksandr Nesterenko
International Europe University
Kyiv, Ukraine ORCID 0000-0001-5329-889X
E-mail:

Igor Netesin
Ukrainian Scientific Center for Development of Information Technologies
Kyiv, Ukraine ORCID 0000-0003-1236-287X
E-mail:

Valery Polischuk
Ukrainian Scientific Center for Development of Information Technologies
Kyiv, Ukraine ORCID 0000-0001-6991-0617
E-mail:

Yuri Selin
Institute for Applied System Analysis
National Technical University of Ukraine
”Igor Sikorsky Kyiv Polytechnic Institute”
Kyiv, Ukraine ORCID 0000-0002-7562-8586
E-mail:

DOI

https://doi.org/10.56415/csjm.v30.21

Fulltext

Adobe PDF document – 0.75 Mb