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Empirical plausible reasoning by multiple-valued logic
Conference proceeding

Empirical plausible reasoning by multiple-valued logic

Paolo Bottoni, Luca Mari and Piero Mussio
Uncertainty in knowledge bases: 3rd international conference on information processing and management of uncertainty in knowledge-based systems, IPMU '90 Paris, France, July 2–6, 1990: proceedings, pp.279-285
Lecture notes in computer science, 521
3rd international conference on information processing and management of uncertainty in knowledge-based systems, IPMU '90 (Paris, 02/07/1990 - 06/07/1990)
1991
Scopus ID: 2-s2.0-85030320472
DOI: https://doi.org/10.1007/BFb0028114

Abstract

Multiple-valued logics Label functions Plausible reasoning Fuzzy set theory Empirical judgement
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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