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A Novel Approach for Reducing Attributes and Its Application to Small Enterprise Financing Ability Evaluation

机译：一种对小企业融资能力评估的一种新型途径及其应用

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摘要

Attribute reduction is viewed as a kind of preprocessing steps for reducing large dimensionality in data mining of all complex systems. A great deal of researchers have proposed various approaches to reduce attributes or select key features in multicriteria decision making evaluation. In practice, the existing approaches for attribute reduction focused on improving the classification accuracy or saving the cost of computational time, without considering the influence of the reduction results on the original data set. To help address this gap, we develop an advanced novel attribute reduction approach combining Pearson correlation analysis with.. test significance discrimination for the screening and identification of key characteristics related to the original data set. The proposed model has been verified using the financing ability evaluation data of 713 small enterprises of a city commercial bank in China. And the experimental results show that the proposed reduction model is efficient and effective. Moreover, our experimental findings help to locate the qualified partners and alleviate the difficulties faced by enterprises when applying loan.
机译：属性减少被视为一种用于减少所有复杂系统的数据挖掘中的大维度的预处理步骤。大量的研究人员提出了各种方法来减少多标法决策评估中的属性或选择关键特征。在实践中，现有的属性方法是重点的，侧重于提高分类准确性或节省计算时间的成本，而不考虑减少结果对原始数据集的影响。为了帮助解决这一差距，我们开发了Pearson相关分析的高级新颖的属性还原方法。测试显着性歧视，用于筛选和识别与原始数据集相关的关键特征。拟议的模型已经使用中国城市商业银行713家小企业的融资能力评估数据进行了验证。实验结果表明，所提出的减少模型是有效且有效的。此外，我们的实验结果有助于找到合格的合作伙伴，并在申请贷款时减轻企业面临的困难。

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  • 来源
    《Complexity》 |2018年第2期|共17页
  • 作者

    Shi Baofeng; Meng Bin; Yang Hufeng; Wang Jing; Shi Wenli;

  • 作者单位

    Northwest A&

    F Univ Coll Econ &

    Management Yangling 712100 Shaanxi Peoples R China;

    Dalian Maritime Univ Collaborat Innovat Ctr Transport Studies Dalian 116026 Liaoning Peoples R China;

    Northwest A&

    F Univ Coll Econ &

    Management Yangling 712100 Shaanxi Peoples R China;

    Northwest A&

    F Univ Coll Econ &

    Management Yangling 712100 Shaanxi Peoples R China;

    Hebei Univ Engn Sch Management Engn &

    Business Handan 056038 Hebei Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 大系统理论;
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