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- W2897318477 abstract "AbstractNegative information can be considered twofold: by means of a negation operator or by capturing the absence of information. In this second approach, a new framework have to be developed: from the syntax to the semantics, including the management of such generalized knowledge representation. In this work we traverse all these issues in the framework of formal concept analysis, introducing a new set of inference rules to manage mixed (positive and negative) attributes.KeywordsFormal Concept AnalysisGeneralized Knowledge RepresentationMixed ImplicationsConcept LatticeComplete Axiomatic SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W2897318477 date "2018-10-09" @default.
- W2897318477 modified "2023-10-12" @default.
- W2897318477 title "Inference of Mixed Information in Formal Concept Analysis" @default.
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- W2897318477 doi "https://doi.org/10.1007/978-3-030-00485-9_9" @default.
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