A Fuzzy Trust Model Using Multiple Evaluation Criteria

  • Keon Myung Lee
  • KyoungSoon Hwang
  • Jee-Hyong Lee
  • Hak-Joon Kim
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4223)


This paper is concerned with a fuzzy trust model which takes into account both evaluations from multiple criteria and the recommendations from others in order to set the trust degrees on entities. In the proposed trust model, the entity’s preference degrees on the outcomes of the interactions are expressed in fuzzy sets and the trust degrees are determined by aggregating the satisfaction degrees with respect to evaluation criteria with Sugeno’s fuzzy integral. In addition, the reputation information is incorporated into the trust degree determination.


Bayesian Network Trust Model General Trust Fuzzy Measure Satisfaction Degree 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Keon Myung Lee
    • 1
  • KyoungSoon Hwang
    • 1
  • Jee-Hyong Lee
    • 2
  • Hak-Joon Kim
    • 3
  1. 1.School of Electrical and Computer EngineeringChungbuk National UniversityKorea
  2. 2.School of Information and Communication EngineeringSungKyunKwan UniversityKorea
  3. 3.Division of Multimedia InformationHowon UniversityKorea

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