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A Fuzzy Modeling Approach for Group Decision Making in Social Networks

  • Gulsum AkkuzuEmail author
  • Benjamin Aziz
  • Mo Adda
Conference paper
Part of the Lecture Notes in Business Information Processing book series (LNBIP, volume 354)

Abstract

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.

Keywords

Aggregated group decision making Social network Fuzzy systems 

Notes

Acknowledgements

The authors would like to acknowledge the anonymous reviewers for providing their precious comments and suggestions. Also acknowledge is given to Turkish Education Embassy for their financial supports.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.School of ComputingUniversity of PortsmouthPortsmouthUK

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