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Authors: Maria Luiza F. Velloso 1 ; Thales Ávila Carneiro 1 and José Augusto Gonçalves do Canto 2

Affiliations: 1 Rio de Janeiro State University, Brazil ; 2 Institute of Political Science and Economics, Candido MendesUniversity, Brazil

Keyword(s): Decision trees, Fuzzy clustering, Default prediction.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Computational Intelligence ; Fuzzy Systems ; Pattern Recognition: Fuzzy Clustering and Classifiers ; Soft Computing

Abstract: 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.

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Paper citation in several formats:
Velloso, M.; Carneiro, T. and Canto, J. (2009). C-FUZZY DECISION TREES IN DEFAULT PREDICTION OF SMALL ENTERPRISES. In Proceedings of the International Joint Conference on Computational Intelligence (IJCCI 2009) - ICFC; ISBN 978-989-674-014-6; ISSN 2184-3236, SciTePress, pages 94-98. DOI: 10.5220/0002324500940098

@conference{icfc09,
author={Maria Luiza F. Velloso. and Thales Ávila Carneiro. and José Augusto Gon\c{C}alves do Canto.},
title={C-FUZZY DECISION TREES IN DEFAULT PREDICTION OF SMALL ENTERPRISES},
booktitle={Proceedings of the International Joint Conference on Computational Intelligence (IJCCI 2009) - ICFC},
year={2009},
pages={94-98},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002324500940098},
isbn={978-989-674-014-6},
issn={2184-3236},
}

TY - CONF

JO - Proceedings of the International Joint Conference on Computational Intelligence (IJCCI 2009) - ICFC
TI - C-FUZZY DECISION TREES IN DEFAULT PREDICTION OF SMALL ENTERPRISES
SN - 978-989-674-014-6
IS - 2184-3236
AU - Velloso, M.
AU - Carneiro, T.
AU - Canto, J.
PY - 2009
SP - 94
EP - 98
DO - 10.5220/0002324500940098
PB - SciTePress