Abstract
Many of the uncertainty management systems used in the Knowledge Based Systems technology can be considered as the set of mechanisms that a certain underlying multiple-valued logic supplies: certainty values, numeric or linguistic, would be the truth-values of that logic, a knowledge base would be a set of axioms, and the mechanisms of uncertainty combination and propagation would be the inference rules of the deduction system. In this communication we formalize multiple-valued logics inside the institutional framework. We structure multiple-valued logics as families of institutions, each one being indexed by a class of truth-values algebras, in such a way that each morphism between truth-values algebras determines a corresponding morphism of institutions. These institution morphisms are a basic mechanism in modular Expert System languages in order to build uncertainty management systems that deal with different logics in different modules.
Research partially supported by the SPES project, CICYT id. 880j382, and by the ESPRIT-II Basic Research Action DRUMS.
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© 1991 Springer-Verlag Berlin Heidelberg
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Agustí-Cullell, J., Esteva, F., Garcia, P., Godo, L. (1991). Formalizing multiple-valued logics as institutions. 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/BFb0028112
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DOI: https://doi.org/10.1007/BFb0028112
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