C-FUZZY DECISION TREES IN DEFAULT PREDICTION OF SMALL ENTERPRISES

被引：0

作者：

Velloso, Maria Luiza F. ^{[1
]}

Carneiro, Thales Avila ^{[1
]}

Goncalves do Canto, Jose Augusto

机构：

[1] Univ Estado Rio De Janeiro, Dept Eletron, San Francisco Xavier 524, Rio De Janeiro, Brazil

来源：

IJCCI 2009: PROCEEDINGS OF THE INTERNATIONAL JOINT CONFERENCE ON COMPUTATIONAL INTELLIGENCE | 2009年

关键词：

Decision trees; Fuzzy clustering; Default prediction;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This work uses fuzzy c-tree in order to predict default in small and medium enterprises in Brazil, using indexes that reflect the financial situation of enterprise, such as profitable capability, operating efficiency, repayment capability and situation of enterprise's cash flow, etc. Fuzzy c-trees are based on information granules multivariable entities characterized by high homogeneity (low variability). The results are compared with those produced by the "standard" version of the decision tree, the C4.5 tree. The experimental study illustrates a better performance of the C-tree.

引用

页码：94 / +

页数：2

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