A Fuzzy Modeling Approach for Group Decision Making in Social Networks

Akkuzu G., Aziz B., Adda M.

22nd International Conference on Business Information Systems (BIS), Sevilla, Spain, 26 - 28 June 2019, vol.354, pp.74-85 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume: 354
  • Doi Number: 10.1007/978-3-030-20482-2_7
  • City: Sevilla
  • Country: Spain
  • Page Numbers: pp.74-85
  • Recep Tayyip Erdoğan University Affiliated: No


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.