Search Word(s) in Title, Keywords, Authors, and Abstract: Jiao-Hong Qiang

Improved Dynamic Subjective Logic Model with Evidence Driven
Jiao-Hong Qiang, Wang-Xin Xin and Tian-Jun Feng
Page: 630~642, Vol. 11, No.4, 2015
10.3745/JIPS.03.0030

Keywords: Dynamic Weight, Evidence Driven, Subjective Logic
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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.