Improved Dynamic Subjective Logic Model with Evidence Driven

Jiao-Hong Qiang, Wang-Xin Xin and Tian-Jun Feng
Volume: 11, No: 4, Page: 630 ~ 642, Year: 2015
10.3745/JIPS.03.0030
Keywords: Dynamic Weight, Evidence Driven, Subjective Logic
Full Text:

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.

Article Statistics
Multiple requests among the same broswer session are counted as one view (or download).
If you mouse over a chart, a box will show the data point's value.


Cite this article
IEEE Style
Jiao-Hong Qiang, Wang-Xin Xin, and Tian-Jun 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, "Improved Dynamic Subjective Logic Model with Evidence Driven," Journal of Information Processing Systems, 11, 4, (2015), 630~642. DOI: 10.3745/JIPS.03.0030.