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A fuzzy modeling approach for aggregated group decision making in cocial networks

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

Social networks have been commonly used, people use social networks with various purposes, such as, enjoying time, making business, and contacting their friends. All these activities are mainly based on sharing data. In social networks, making decision on data sharing process has become one of the main challenge because it involves people who have different opinions on the same problem. Diversified opinions cause uncertainties in decision making process. Fuzzy logic is used to overcome uncertainties’ situations. In this work, we provide a fuzzy logic based decision making framework for SNs. The proposed fuzzy logic based framework uses data sensitivity value and trust value (confidence value) to make the group decision. Users express their opinions on data security features to obtain aggregated decision. Facebook data sharing process is chosen as a case study.
Original languageEnglish
Title of host publicationProceedings of the 22nd International Conference on Business Information Systems 2019
Publication statusAccepted for publication - 7 Mar 2019
Event22nd International Conference on Business Information Systems - Sevilla, Spain
Duration: 22 Jun 201926 Jun 2019

Publication series

NameLecture Notes in Business Information Processing
ISSN (Print)1865-1348


Conference22nd International Conference on Business Information Systems
Abbreviated titleBIS2019
Internet address


  • BISC

    Rights statement: The embargo end date of 2050 is a temporary measure until we know the publication date. Once we know the publication date the full text of this article will be able to view shortly afterwards.

    Accepted author manuscript (Post-print), 916 KB, PDF-document

    Due to publisher’s copyright restrictions, this document is not freely available to download from this website until: 1/01/50

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