Review of Application Research of Support Vector Machines and Rough Sets in Credit Risk Evaluation

Li DONG, Mu ZHANG

Abstract


Theoretical and empirical research on credit risk evaluation plays an important role for enterprises in reducing transaction costs, enhancing competition ability and creating a good competition environment. At present, in view of the application of support vector machines and rough sets in artificial intelligence method in enterprise credit risk evaluation, research abroad mainly focuses on the innovative application of support vector machines and rough sets; and the domestic research mainly focuses on the effectiveness, the advantages and the feasibility of support vector machines and rough sets. In this paper, the research status of support vector machines and rough sets at home and abroad is discussed in detail so that the development of artificial intelligence theory and practice is promoted.

Keywords


Credit risk evaluation, Support vector machines, Rough sets, Artificial intelligence


DOI
10.12783/dtssehs/iced2017/15147

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