Fuzzy Approaches to Abductive Inference

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dc.creatorMellouli, Nedra
dc.creatorBouchon-Meunier, Bernadette
dc.date2000-03-08
dc.date.accessioned2026-07-07T03:15:59Z
dc.date.available2026-07-07T03:15:59Z
dc.descriptionThis paper proposes two kinds of fuzzy abductive inference in the framework of fuzzy rule base. The abductive inference processes described here depend on the semantic of the rule. We distinguish two classes of interpretation of a fuzzy rule, certainty generation rules and possible generation rules. In this paper we present the architecture of abductive inference in the first class of interpretation. We give two kinds of problem that we can resolve by using the proposed models of inference.
dc.description7 pages and 8 files
dc.identifierhttps://arxiv.org/abs/cs/0003029
dc.identifierhttp://arxiv.org/abs/cs/0003029
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/30189
dc.subjectArtificial Intelligence
dc.subjectArtificial intelligence and nonmonotonic reasoning and belief revision
dc.titleFuzzy Approaches to Abductive Inference
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