Abstract
Information asymmetry makes network transaction at risk, and trust is the foundation of network transactions. Under network transactions environment, the trust evaluation is important to predict the trust object’s credit risk. Therefore, on the basis of analyzing the influential factors of trust, we proposed an improved trust evaluation model based on cloud model; further, credit risk evaluation methodology was proposed based on the trust evaluation model. Taking C2C as an example to do the numerical experiment, results show that the trust evaluation model and credit risk evaluation method proposed in this paper, can make a reasonable evaluation and interpretation of the credit risk under network transactions.
This research has been supported by National Natural Science Foundation of China (No.71271043 and No.71473031), the special research Foundation of Ph.D program of China (No.20110185110021) and SiChuan Province Science and technology support project (No.2012SZ0001).
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Hui, L., Yumeng, H., Zongfang, Z. (2015). Credit Risk Evaluation Based on Improved Trust Evaluation Method Under Network Transaction. In: Zhang, C., et al. Data Science. ICDS 2015. Lecture Notes in Computer Science(), vol 9208. Springer, Cham. https://doi.org/10.1007/978-3-319-24474-7_25
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DOI: https://doi.org/10.1007/978-3-319-24474-7_25
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