Sign fusion of multiple QPNs based on qualitative mutual information Online publication date: Thu, 02-May-2019
by Yali Lv; Jiye Liang; Yuhua Qian; Jiajie Wu; Suqin Ji
International Journal of Computational Science and Engineering (IJCSE), Vol. 19, No. 1, 2019
Abstract: In the era of big data, the fusion of uncertain information from different data sources is a crucial issue in various applications. In this paper, a sign fusion method of multiple qualitative probabilistic networks (QPNs) with the same structure from different data sources is proposed. Specifically, firstly, the definition of parallel path in multiple QPNs is given and the problem of fusion ambiguity is described. Secondly, the fusion operator (⊕f-operator) theorem is introduced in detail, including its proof and algebraic properties. Further, an efficient sign fusion algorithm is proposed. Finally, experimental results demonstrate that our fusion algorithm is feasible and efficient.
Online publication date: Thu, 02-May-2019
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Science and Engineering (IJCSE):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email firstname.lastname@example.org