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Application of extended IOWA operator for making group decision on co-owned contents in OSNs

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Group decision making (GDM) approaches have commonly been used in order to choose the most appropriate choice from an alternative set. It has been applied in environments, where the group of people is involved to make a decision on cases. In online social networks (OSNs), GDM is a need especially on a content of data sharing process where the content of the data has more than one user's information on. In OSNs, social network group decision making (SNGDM) is needed in order to prevent privacy leakage and keep users in OSNs platforms. This is because some OSNs' users might get quit from an OSN platform because of the privacy issues, or they might become unfriend with the user who causes the privacy problem.

Application of having group decision making based OSNs' platforms has a challenge. The challenging part of SNGDM process is to weight users' opinions on their choices on the alternative. One way to weight group members' opinion is to use the trust values. In this paper, we propose an approach where the trust values are used to weight decision-makers' opinions on a co-owned data sharing process. The trust values are used as weight vectors in the Extended Induced Ordered Weighted Average (EIOWA) group decision making technique.
Original languageEnglish
Title of host publicationProceedings of the 10th IEEE International Conference on Intelli­gent Systems IS'20
PublisherInstitute of Electrical Engineers
Publication statusAccepted for publication - 2 Dec 2019
Event10th IEEE International Conference on Intelli­gent Systems - Varna, Bulgaria
Duration: 26 Jun 202028 Jun 2020
Conference number: 10
https://www.ieee-is.org

Conference

Conference10th IEEE International Conference on Intelli­gent Systems
Abbreviated titleIS’20
CountryBulgaria
CityVarna
Period26/06/2028/06/20
Internet address

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