Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust
Joint Authors
Wang, Xin
Wang, Ying
Sun, Hongbin
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2016, Issue 2016 (31 Dec. 2015), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2016-01-28
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
In social media, trust and distrust among users are important factors in helping users make decisions, dissect information, and receive recommendations.
However, the sparsity and imbalance of social relations bring great difficulties and challenges in predicting trust and distrust.
Meanwhile, there are numerous inducing factors to determine trust and distrust relations.
The relationship among inducing factors may be dependency, independence, and conflicting.
Dempster-Shafer theory and neural network are effective and efficient strategies to deal with these difficulties and challenges.
In this paper, we study trust and distrust prediction based on the combination of Dempster-Shafer theory and neural network.
We firstly analyze the inducing factors about trust and distrust, namely, homophily, status theory, and emotion tendency.
Then, we quantify inducing factors of trust and distrust, take these features as evidences, and construct evidence prototype as input nodes of multilayer neural network.
Finally, we propose a framework of predicting trust and distrust which uses multilayer neural network to model the implementing process of Dempster-Shafer theory in different hidden layers, aiming to overcome the disadvantage of Dempster-Shafer theory without optimization method.
Experimental results on a real-world dataset demonstrate the effectiveness of the proposed framework.
American Psychological Association (APA)
Wang, Xin& Wang, Ying& Sun, Hongbin. 2016. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Computational Intelligence and Neuroscience،Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099701
Modern Language Association (MLA)
Wang, Xin…[et al.]. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Computational Intelligence and Neuroscience Vol. 2016, no. 2016 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1099701
American Medical Association (AMA)
Wang, Xin& Wang, Ying& Sun, Hongbin. Exploring the Combination of Dempster-Shafer Theory and Neural Network for Predicting Trust and Distrust. Computational Intelligence and Neuroscience. 2016. Vol. 2016, no. 2016, pp.1-12.
https://search.emarefa.net/detail/BIM-1099701
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1099701