KMS Of Academy of mathematics and systems sciences, CAS
Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation | |
Yu, Lean1; Wang, Shouyang1; Wen, Fenghua2; Lai, Kin Keung3; He, Shaoyi4 | |
2008-12-01 | |
发表期刊 | JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY |
ISSN | 1009-6124 |
卷号 | 21期号:4页码:527-539 |
摘要 | In this study, a novel hybrid intelligent mining system integrating rough sets theory and support vector machines is developed to extract efficiently association rules from original information table for credit risk evaluation and analysis. In the proposed hybrid intelligent system, support vector machines are used as a tool to extract typical features and filter its noise, which are different from the previous studies where rough sets were only used as a preprocessor for support vector machines. Such an approach could reduce the information table and generate the final knowledge from the reduced information table by rough sets. Therefore, the proposed hybrid intelligent system overcomes the dificulty of extracting rules from a trained support vector machine classifier and possesses the robustness which is lacking for rough-set-based approaches. In addition, the effectiveness of the proposed hybrid intelligent system is illustrated with two real-world credit datasets. |
关键词 | Credit risk evaluation hybrid intelligent system rough sets support vector machine |
DOI | 10.1007/s11424-008-9133-7 |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[70221001] ; National Natural Science Foundation of China[70701035] ; Chinese Academy of Sciences[3547600] ; Chinese Academy of Sciences[3046540] ; Chinese Academy of Sciences[3047540] ; Hong Kong Joint Research Scheme[N CityU110/07] |
WOS研究方向 | Mathematics |
WOS类目 | Mathematics, Interdisciplinary Applications |
WOS记录号 | WOS:000260878200004 |
出版者 | SPRINGER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.amss.ac.cn/handle/2S8OKBNM/5412 |
专题 | 系统科学研究所 |
通讯作者 | Yu, Lean |
作者单位 | 1.Chinese Acad Sci, Acad Math & Syst Sci, Inst Syst Sci, Beijing 100190, Peoples R China 2.Changsha Univ Sci & Technol, Sch Econ & Management, Changsha 410076, Peoples R China 3.City Univ Hong Kong, Dept Management Sci, Kowloon, Hong Kong, Peoples R China 4.Calif State Univ San Marcos, Coll Business Adm, Dept Informat Syst & Operat Management, San Marcos, CA 92096 USA |
推荐引用方式 GB/T 7714 | Yu, Lean,Wang, Shouyang,Wen, Fenghua,et al. Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation[J]. JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,2008,21(4):527-539. |
APA | Yu, Lean,Wang, Shouyang,Wen, Fenghua,Lai, Kin Keung,&He, Shaoyi.(2008).Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation.JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY,21(4),527-539. |
MLA | Yu, Lean,et al."Designing a Hybrid Intelligent Mining System for Credit Risk Evaluation".JOURNAL OF SYSTEMS SCIENCE & COMPLEXITY 21.4(2008):527-539. |
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