On Different Ways to be (dis)similar to Elements in a Set. Boolean Analysis and Graded Extension

DOI10.1007/978-3-319-40581-0_49zbMath1460.62016OpenAlexW2476954248MaRDI QIDQ5117238

Gilles Richard, Henri Prade

Publication date: 20 August 2020

Published in: Information Processing and Management of Uncertainty in Knowledge-Based Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-40581-0_49

zbMATH Keywords

similaritydissimilaritylogical proportion

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Foundations and philosophical topics in statistics (62A01)

Related Items (4)

Logical proportions-related classification methods beyond analogy ⋮ Oddness/evenness-based classifiers for Boolean or numerical data ⋮ Geometric and cognitive differences between logical diagrams for the Boolean algebra \(\mathbb {B}_{4}\) ⋮ Logical and geometrical distance in polyhedral Aristotelian diagrams in knowledge representation

Cites Work

• Unnamed Item
• Oddness/evenness-based classifiers for Boolean or numerical data
• The power of the hexagon
• From Blanché's hexagonal organization of concepts to formal concept analysis and possibility theory
• From analogical proportion to logical proportions
• Things that are right with the traditional square of opposition
• A New View of Conformity and Its Application to Classification
• Handling Analogical Proportions in Classical Logic and Fuzzy Logics Settings
• Encyclopedia of Distances

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