Fuzzy set theory-based trust models in multi-agent environment

Zhiyuan Su, Mingchu Li, Cheng Guo, Jianhua Ma, Jong Hyuk Park, Young Sik Jeong

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Trust mechanism is the key foundation to ensure the security in multi-agent environments. In view of the shortcomings in the existing models, we develop a valuable evaluation mechanism using fuzzy set theory to describe its trust models in this paper. A multiple-attribute fuzzy decision is introduced so that the trust evaluation is more consistent with the thinking custom in the human society. In our trust recommendation, we present similarity techniques based on the coefficients of rating-attribute weight so that the trust values are more accordant with subjectivity, and introduce a lattice measure of similarity that can effectively diminish the influence from some malicious recommendations. Meanwhile, our model improves the derivation rules of trust recommendation relationships by multiple multivariable fuzzy reasoning mode and fuzzy uncertainty reasoning theory. Subsequent experimental results show that our model can inhibit malicious transactions more effectively than Eigen Trust, and thus give a significant way for studying the security mechanism in multi-agent environments.

Original languageEnglish
Pages (from-to)159-172
Number of pages14
JournalJournal of Internet Technology
Volume13
Issue number1
StatePublished - 2012

Keywords

  • Fuzzy inference
  • Fuzzy set theory
  • Lattice measure of similarity
  • Multi-agent system
  • Trust

Fingerprint

Dive into the research topics of 'Fuzzy set theory-based trust models in multi-agent environment'. Together they form a unique fingerprint.

Cite this