Improved Dynamic Subjective Logic Model with Evidence Driven


Jiao-Hong Qiang, Wang-Xin Xin, Tian-Jun Feng, Journal of Information Processing Systems Vol. 11, No. 4, pp. 630-642, Aug. 2015  

10.3745/JIPS.03.0030
Keywords: Dynamic Weight, Evidence Driven, Subjective Logic
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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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Cite this article
[APA Style]
Jiao-Hong Qiang, Wang-Xin Xin, & Tian-Jun Feng (2015). Improved Dynamic Subjective Logic Model with Evidence Driven. Journal of Information Processing Systems, 11(4), 630-642. DOI: 10.3745/JIPS.03.0030.

[IEEE Style]
J. Qiang, W. Xin and T. Feng, "Improved Dynamic Subjective Logic Model with Evidence Driven," Journal of Information Processing Systems, vol. 11, no. 4, pp. 630-642, 2015. DOI: 10.3745/JIPS.03.0030.

[ACM Style]
Jiao-Hong Qiang, Wang-Xin Xin, and Tian-Jun Feng. 2015. Improved Dynamic Subjective Logic Model with Evidence Driven. Journal of Information Processing Systems, 11, 4, (2015), 630-642. DOI: 10.3745/JIPS.03.0030.