The Study of Enterprise Credit Rating Model Based Fuzzy Logic and Neural Network

机译：基于模糊逻辑和神经网络的企业信用评级模型研究

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In this paper, we propose an enterprise credit rating mode! based on fuzzy logic and neural networks. The true power and advantage of this method lies in that it combines the ability to represent both linear and non-linear relationships and learn these relationships directly from the data being modeled for neural networks and the ability to process complex data for fuzzy system. The experimental results show that this method has great advantage when it is used to build enterprise credit rating model.

机译：本文提出了一种企业信用评级模式！基于模糊逻辑和神经网络。这种方法的真正威力和优势在于，它既可以表示线性和非线性关系，又可以直接从为神经网络建模的数据中学习这些关系，还可以为模糊系统处理复杂数据。实验结果表明，该方法在建立企业信用评级模型中具有很大的优势。

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来源
《Third Wuhan International Conference on E-Business: Golbal Business Interface》|2004年|P.862-868|共7页
会议地点 Wuhan(CN)
作者
Zhang De-dong; Zhang Qiang; Zhang Li;
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作者单位

School of Management and Economics, Beijing Institute of Technology, 100081, Beijing, China;

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会议组织
原文格式 PDF
正文语种 eng
中图分类商业企业组织与管理;计算技术、计算机技术;
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4. The Study of Enterprise Credit Rating Model Based Fuzzy Logic and Neural Network [C] . Zhang De-dong, Zhang Qiang, Zhang Li Third Wuhan International Conference on E-Business: Golbal Business Interface . 2004

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The Study of Enterprise Credit Rating Model Based Fuzzy Logic and Neural Network

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