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International Conference on Artificial Intelligence and Soft Computing

ICAISC 2004: Artificial Intelligence and Soft Computing - ICAISC 2004 pp 652–657Cite as

An Unsupervised Cluster Analysis and Information about the Modelling System

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3070))

Abstract

The aim of the article is to present a possible way of joining the information coming from the modelling system with the unsupervised clustering method, fuzzy c–means method. The practical application of the proposed approach will be presented via problem of bankruptcy prediction.

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References

  1. Demuth, H., Beale, M.: Neural Network Toolbox User’s Guide. The Math Works Inc., Natick (2000)

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  2. Masters, T.: Practical Neural Network Recipes in C++. Scientific-Technical Publishing Company, Warsaw (1996)

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  3. Piegat, A.: Fuzzy Modelling and Control. Physica-Verlag, New York (1999)s

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  4. Rejer, I.: How to deal with the data in a bankruptcy prediction modelling. Kluwer Academic Publisher (to appear)

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  5. Sugeno, M., Yasukawa, T.: A Fuzzy-Logic-Based Approach to Qualitative Modelling. IEEE Transaction on Fuzzy Systems 1(1) (1993)

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Author information

Authors and Affiliations

  1. Szczecin University, Poland

    Izabela Rejer

Authors
  1. Izabela Rejer
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Editor information

Editors and Affiliations

  1. Department of Artificial Intelligence, Academy of Humanities and Economics, Poland

    Leszek Rutkowski

  2. German Research Center of Artificial Intelligence (DFKI), Germany

    Jörg H. Siekmann

  3. Institute of Automatics, AGH University of Science and Technology, Al. Mickiewicza 30, PL-30-059, Kraków, Poland

    Ryszard Tadeusiewicz

  4. Department of Electrical Engineering and Computer Sciences, University of California, Berkeley, Initiative in Soft Computing (BISC), 94720-1776, Berkeley, CA

    Lotfi A. Zadeh

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© 2004 Springer-Verlag Berlin Heidelberg

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Cite this paper

Rejer, I. (2004). An Unsupervised Cluster Analysis and Information about the Modelling System. In: Rutkowski, L., Siekmann, J.H., Tadeusiewicz, R., Zadeh, L.A. (eds) Artificial Intelligence and Soft Computing - ICAISC 2004. ICAISC 2004. Lecture Notes in Computer Science(), vol 3070. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24844-6_99

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  • DOI: https://doi.org/10.1007/978-3-540-24844-6_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-22123-4

  • Online ISBN: 978-3-540-24844-6

  • eBook Packages: Springer Book Archive

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