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A new kind of implication to reason with unknown information

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Publication:2117119
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DOI10.1007/978-3-030-77867-5_5OpenAlexW3175490283MaRDI QIDQ2117119

Ángel Mora, Pablo Cordero, Manuel Enciso, Francisco Pérez-Gámez

Publication date: 21 March 2022

Full work available at URL: https://doi.org/10.1007/978-3-030-77867-5_5

zbMATH Keywords

Galois connectionlogicimplicationsunknown information


Mathematics Subject Classification ID

Knowledge representation (68T30)


Related Items

Mining for Unknown Unknowns



Cites Work

  • Mathematical aspects of concept analysis
  • Interactive error correction in implicative theories
  • Concept lattices with negative information: a characterization theorem
  • Attribute implications in \textbf{L}-concept analysis with positive and negative attributes: validity and properties of models
  • Conceptual Exploration
  • Data mining algorithms to compute mixed concepts with negative attributes: an application to breast cancer data analysis
  • Bilattices and the semantics of logic programming
  • Closure via functional dependence simplification
  • Inference of Mixed Information in Formal Concept Analysis
  • Formal Concept Analysis
  • Conceptual Structures for Knowledge Creation and Communication
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