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Perception-based Data Mining and Decision Making in Economics and Finance pp 353–367Cite as

Fuzzy Models in Credit Risk Analysis

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Part of the book series: Studies in Computational Intelligence ((SCI,volume 36))

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References

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Author information

Authors and Affiliations

  1. Unidade Gestão de Riscos - Banco do Brasil S.A., Brasil

    Antonio Carlos Pinto Dias Alves

Authors
  1. Antonio Carlos Pinto Dias Alves
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Editor information

Editors and Affiliations

  1. Mexican Petroleum Institute, Eje Central Lazaro Cardenas 152, Col. San Bartolo Atepehuacan, 07730, Mexico, Mexico

    Ildar Batyrshin  & Leonid Sheremetov  & 

  2. Systems Research Institute, Polish Academy of Sciences, Newelska 6, 01-447, Warszawa, Poland

    Janusz Kacprzyk

  3. St. Petersburg Institute for Informatics and Automation, Russian Academy of Sciences, 39 14th Line St. Petersburg, 199178, Russia

    Leonid Sheremetov

  4. Computer Science Division, University of California, 387 Soda Hall, 94720-1776, Berkeley, CA, USA

    Lotfi A. Zadeh

  5. Institute of Problems of Informatics, Academy of Sciences of Tatarstan, Mushtari st., 20 Kazan, 420012, Russia

    Ildar Batyrshin

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© 2007 Springer-Verlag Berlin Heidelberg

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Alves, A.C.P.D. (2007). Fuzzy Models in Credit Risk Analysis. In: Batyrshin, I., Kacprzyk, J., Sheremetov, L., Zadeh, L.A. (eds) Perception-based Data Mining and Decision Making in Economics and Finance. Studies in Computational Intelligence, vol 36. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-36247-0_14

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  • DOI: https://doi.org/10.1007/978-3-540-36247-0_14

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36244-9

  • Online ISBN: 978-3-540-36247-0

  • eBook Packages: EngineeringEngineering (R0)

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