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Extension Principle and Probabilistic Inferential Process

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Lectures on Soft Computing and Fuzzy Logic

Part of the book series: Advances in Soft Computing ((AINSC,volume 11))

Abstract

In this work we sketch out a method to design expert systems, probabilistic in nature. The inferential engine we propose is a data-base storing information about a set of “past cases ”.

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References

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Author information

Authors and Affiliations

  1. Dip. Matematica e Informatica, Universitá di Salerno, via S. Allende, Baronissi, 84081, SA, Italy

    Giangiacomo Gerla, Domenico Calabró & Luciana Scarpati

Authors
  1. Giangiacomo Gerla
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  2. Domenico Calabró
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  3. Luciana Scarpati
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Editor information

Editors and Affiliations

  1. Dipartimento di Matematica e Informatica, Università di Salerno, Via S. Allende, 84081, Baronissi (SA), Italy

    Antonio Di Nola  & Giangiacomo Gerla  & 

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© 2001 Springer-Verlag Berlin Heidelberg

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Gerla, G., Calabró, D., Scarpati, L. (2001). Extension Principle and Probabilistic Inferential Process. In: Di Nola, A., Gerla, G. (eds) Lectures on Soft Computing and Fuzzy Logic. Advances in Soft Computing, vol 11. Physica, Heidelberg. https://doi.org/10.1007/978-3-7908-1818-5_8

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  • DOI: https://doi.org/10.1007/978-3-7908-1818-5_8

  • Publisher Name: Physica, Heidelberg

  • Print ISBN: 978-3-7908-1396-8

  • Online ISBN: 978-3-7908-1818-5

  • eBook Packages: Springer Book Archive

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