Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Improved Dynamic Subjective Logic Model with Evidence Driven

  • Qiang, Jiao-Hong (Electronic and Information Engineering Experiment and Training Center, Handan College) ;
  • Xin, Wang-Xin (College of Art, Hebei University of Science and Technology) ;
  • Feng, Tian-Jun (School of Computer Science and Technology, Hebei University)
  • Received : 2014.01.14
  • Accepted : 2014.06.27
  • Published : 2015.12.31
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Abstract

In Jøsang's subjective logic, the fusion operator is not able to fuse three or more opinions at a time and it cannot consider the effect of time factors on fusion. Also, the base rate (a) and non-informative prior weight (C) could not change dynamically. In this paper, we propose an Improved Subjective Logic Model with Evidence Driven (ISLM-ED) that expands and enriches the subjective logic theory. It includes the multi-agent unified fusion operator and the dynamic function for the base rate (a) and the non-informative prior weight (C) through the changes in evidence. The multi-agent unified fusion operator not only meets the commutative and associative law but is also consistent with the researchers's cognitive rules. A strict mathematical proof was given by this paper. Finally, through the simulation experiments, the results show that the ISLM-ED is more reasonable and effective and that it can be better adapted to the changing environment.

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References

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