Abstract
The purpose of the work surveyed in this paper is to provide knowledge-based systems with tools relying on the fuzzy sets and the possibility theories in order to allow them to reason on fuzzy and uncertain knowledge. First will be given a means of representation for fuzzy and uncertain facts, then an inference operation on those facts, and finally a method for combining different fuzzy properties into a single one.
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© 1993 Springer-Verlag
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Spilski-Pétieau, A.M., Willaeys, D. (1993). Approximate reasoning in expert systems: Inference and combination tools. In: Bouchon-Meunier, B., Valverde, L., Yager, R.R. (eds) IPMU '92—Advanced Methods in Artificial Intelligence. IPMU 1992. Lecture Notes in Computer Science, vol 682. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-56735-6_62
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DOI: https://doi.org/10.1007/3-540-56735-6_62
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