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논문검색

Evaluation of Trustworthiness based on Fuzzy Set Theory

초록

영어

In the heterogeneous network, trustworthiness of the entity can help other entities to decide whether or not to have a transaction with it. The feedback data used to evaluate trustworthiness always comes from different entities in different system and is expressed in all kinds of forms. This may be easy for entity to express their trustworthiness, but it will increase difficulties of evaluation of trustworthiness. This paper first introduces different express forms used to show trustworthiness of the entities, and then show how to translate different form into fuzzy form using fuzzy set theory, and give a evaluates of integrated data. The experiment data shows that the trustworthiness expressed with fuzzy form is more appropriate, and the method based on fuzzy set is more convenient for the entities to predict the risk.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Different Forms of Trust Information
  3.1. Factor Form
  3.2. Bayesian Probability Form
  3.3. D-S Evidence Theory Form
  3.4. DSmT Evidence Theory Form
  3.5. Fuzzy Set Form
 4. Translation of Different Forms into a Uniform
  4.1. Translation of Factor Form
  4.2. Translation of Bayesian Form
  4.3. Translation of Evidence Theory Form
  4.4. Uniform and Fuzzy Vector
 5. Integrated Evaluation of Trustworthiness
  5.1. The Process of Evaluation
  5.2. Experiment
  5.3. Comparison
 6. Conclusion
 Acknowledgements
 References

저자정보

  • Hua Sun School of Software, Xinjiang University Urumqi, Xinjiang, 830008
  • Jiong Yu School of Software, Xinjiang University Urumqi, Xinjiang, 830008, School of Information Science and Engineering, Xinjiang University Urumqi, Xinjiang, 830046
  • ZhenYu Zhang School of Information Science and Engineering, Xinjiang University Urumqi, Xinjiang, 830046
  • Li Li School of Information Science and Engineering, Xinjiang University Urumqi, Xinjiang, 830046
  • Bin Liao School of Information Science and Engineering, Xinjiang University Urumqi, Xinjiang, 830046

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