Integration of Multiple Qualitative Probabilistic Networks Based on Probabilistic Rough Sets
The problem of integrating multiple-source uncertain information is crucial in many applications. In this paper, we propose an integration method of multiple Qualitative Probabilistic Networks (QPNs). Assuming that each QPN has the same nodes, we integrate the qualitative signs and structure of multiple QPNs based on probabilistic rough sets. Specifically, we first take the probabilistic-rough-set-based dependency degree as the strength of qualitative influences to reduce ambiguities that arise from the qualitative signs integration. Secondly, we give the definition of the whole influence strength, and then discuss two cases to delete the cycles in the process of structure integration. Finally, we verify the correctness of the integration method by the simulation experiments.
Yali Lv Shizhong Liao
School of Computer Science and Technology, Tianjin University, Tianjin 300072, China School of Infor School of Computer Science and Technology, Tianjin University, Tianjin 300072, China
国际会议
太原
英文
454-458
2010-10-22（万方平台首次上网日期，不代表论文的发表时间）