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Learning from erroneous examples using fuzzy logic and “textbook” knowledge

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Book cover IPMU '92—Advanced Methods in Artificial Intelligence (IPMU 1992)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 682))

Abstract

A further development of the authors' former works ([1],[2],

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References

  1. C. Iwański, J. Kacprzyk: Machine learning from incomplete and imprecise examples. In: M. Fedrizzi and J. Kacprzyk (ads.): Proceedings of 8th Italian — Polish Symposium on Systems Analysis and Decision Support in Economics and Technology (Levico Terme, Italy, 1989), Warsaw: Omnitech Press 1990, pp. 282–297.

    Google Scholar 

  2. J. Kacprzyk, C. Iwański: Machine learning from misclassified and erroneous examples. In: Proc. of IPMU '90 Conference (Paris, France) 1990, pp. 213–215.

    Google Scholar 

  3. J. Kacprzyk, C. Iwański: Inductive learning under imprecision and errors. In: R. Lowen and M. Roubens (eds.): Proc. of 4th IFSA '91 Congress (Brussels, Belgium), Part AI, 1991, pp. 78–81.

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  4. J. Kacprzyk, C. Iwański: Inductive learning from incomplete and imprecise examples, In: B. Bouchon-Meunier, R. R. Yager and L. A. Zadeh (eds.): Uncertainty in Knowledge Bases, Berlin: Springer-Verlag 1991, pp. 424–430.

    Google Scholar 

  5. J. Kacprzyk, C. Iwański: Machine learning from incomplete and imprecise examples. In: L. A. Zadeh and J. Kacprzyk (eds.): Fuzzy Logic for the Management of Uncertainty, New York: Wiley, pp. 465–478.

    Google Scholar 

  6. J. Kacprzyk, R.R. Yager: Emergency-oriented expert systems: a fuzzy approach. Information Sciences 37, 147–156 (1985).

    Google Scholar 

  7. R.S. Michalski: A theory and methodology of inductive learning. In: R.S. Michalski, J. Carbonell and T. Mitchell (eds.): Machine Learning. Palo Alto: Tioga Press 1983, 83–133.

    Google Scholar 

  8. R.R. Yager: Quantifiers in the formulation of multiple objective decision functions. Information Sciences 31, 107–139 (1983).

    Google Scholar 

  9. L.A. Zadeh: A computational approach to fuzzy quantifiers in natural languages. Computers and Mathematics with Applications 9, 149–184 (1983).

    Google Scholar 

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Authors and Affiliations

  1. Systems Research Institute, Polish Academy of Sciences, ul. Newelska 6, 01-447, Warsaw, Poland

    Janusz Kacprzyk & Cezary Iwański

Authors
  1. Janusz Kacprzyk
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  2. Cezary Iwański
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Editor information

Bernadette Bouchon-Meunier Llorenç Valverde Ronald R. Yager

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© 1993 Springer-Verlag

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Kacprzyk, J., Iwański, C. (1993). Learning from erroneous examples using fuzzy logic and “textbook” knowledge. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds) IPMU '92—Advanced Methods in Artificial Intelligence. IPMU 1992. Lecture Notes in Computer Science, vol 682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56735-6_55

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  • DOI: https://doi.org/10.1007/3-540-56735-6_55

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-56735-6

  • Online ISBN: 978-3-540-47643-6

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