Sign fusion of multiple QPNs based on qualitative mutual information. (2nd May 2019)

• Record Type: Journal Article
• Authors: Lv, Yali; Liang, Jiye; Qian, Yuhua; Wu, Jiajie; Ji, Suqin
• Is Part Of: International journal of computational science and engineering. Volume 19:Number 1(2019)
• Page Start: 36
• Page End: 45
• Publication Date: 2019-05-02
• Subjects: qualitative probabilistic reasoning -- QPNs -- Bayesian networks -- sign fusion -- qualitative mutual information; Computer science -- Mathematics -- Periodicals; Computer simulation -- Mathematical aspects -- Periodicals; Computational intelligence -- Periodicals; 004.015105
• Languages: English
• ISSNs: 1742-7185

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.