Informatics and Applications
2019, Volume 13, Issue 3, pp 63-71
FORMALIZATION OF THE ALTERNATIVES RANKING METHOD FOR GROUP DECISION MAKING IN SOCIAL NETWORKS
- A. A. Gaidamaka
- N. V. Chukhno
- O. V. Chukhno
- K. E. Samouylov
- S. Ya. Shorgin
Abstract
The expansion and accessibility of Internet technology has allowed a new look at social networks. A few decades ago, this online service was more entertaining in nature. However, today, with increasing transmission rates and the possibility of real-time communication, social networks, on which platform a poll or vote can be easily organized, become a powerful mechanism for achieving consensus in decision making process. The paper offers an overview of the known models of group decision making (GDM) and a formal description of the decision-making algorithm developed on the basis of the overview taking into account a large amount of data in a social network.
A feature of the algorithm is the ability for an expert to choose a limited subset of interest from a huge number of alternatives, as well as taking into account network scaling in terms of the number of experts involved in the GDM process. The method of extrapolating the values of the estimates for network scaling is proposed. A numerical case for an illustration ofthe algorithm is developed and presented.
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[+] About this article
Title
FORMALIZATION OF THE ALTERNATIVES RANKING METHOD FOR GROUP DECISION MAKING IN SOCIAL NETWORKS
Journal
Informatics and Applications
2019, Volume 13, Issue 3, pp 63-71
Cover Date
2019-09-30
DOI
10.14357/19922264190310
Print ISSN
1992-2264
Publisher
Institute of Informatics Problems, Russian Academy of Sciences
Additional Links
Key words
group decision making; social network analysis; fuzzy logic; LTS
Authors
A. A. Gaidamaka , N. V. Chukhno , O. V. Chukhno , K. E. Samouylov , , and S. Ya. Shorgin
Author Affiliations
Peoples' Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya Str., Moscow 117198, Russian Federation
Institute of Informatics Problems, Federal Research Center "Computer Science and Control" of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
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