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Empirical plausible reasoning by multiple-valued logic

  • 5. Non-Standard Logics
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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 521))

Abstract

A method to approximate the heuristic reasoning of an expert in judging the behaviour of a system is proposed. The method is based on the use of label functions, mapping the observed value of one attribute into a local judgment, and of multiple-valued logic trees, mapping a set of local judgements into a global one. The method is introduced within the fuzzy set approach, so that the involved approximation can be discussed.

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Authors

Editor information

Bernadette Bouchon-Meunier Ronald R. Yager Lotfi A. Zadeh

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© 1991 Springer-Verlag Berlin Heidelberg

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Bottoni, P., Mari, L., Mussio, P. (1991). Empirical plausible reasoning by multiple-valued logic. In: Bouchon-Meunier, B., Yager, R.R., Zadeh, L.A. (eds) Uncertainty in Knowledge Bases. IPMU 1990. Lecture Notes in Computer Science, vol 521. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0028114

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  • DOI: https://doi.org/10.1007/BFb0028114

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-54346-6

  • Online ISBN: 978-3-540-47580-4

  • eBook Packages: Springer Book Archive

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