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Improved Dynamic Subjective Logic Model with Evidence Driven
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 Title & Authors
Improved Dynamic Subjective Logic Model with Evidence Driven
Qiang, Jiao-Hong; Xin, Wang-Xin; Feng, Tian-Jun;
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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.
 Keywords
Dynamic Weight;Evidence Driven;Subjective Logic;
 Language
English
 Cited by
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