A fuzzy modeling approach for group decision making in social networks

Gulsum Akkuzu, Benjamin Aziz, Mo Adda

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

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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 publicationBusiness Information Systems
Subtitle of host publication22nd International Conference, BIS 2019, Seville, Spain, June 26–28, 2019, Proceedings, Part II
EditorsWitold Abramowicz, Rafael Corchuelo
ISBN (Electronic)978-3-030-20482-2
ISBN (Print)978-3-030-20481-5
Publication statusPublished - Jun 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
ISSN (Electronic)1865-1356


Conference22nd International Conference on Business Information Systems
Abbreviated titleBIS2019
Internet address


  • aggregated group decision making
  • fuzzy systems
  • online social networks


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