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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© 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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