Probabilistic Implication Bases in FCA and Probabilistic Bases of GCIs in 𝓔𝓛

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Contributors

Abstract

A probabilistic formal context is a triadic context the third dimension of which is a set of worlds equipped with a probability measure. After a formal definition of this notion, this document introduces probability of implications with respect to probabilistic formal contexts, and provides a construction for a base of implications the probabilities of which exceed a given lower threshold. A comparison between confidence and probability of implications is drawn, which yields the fact that both measures do not coincide. Furthermore, the results are extended towards the lightweight description logic 𝓔𝓛βŠ₯ with probabilistic interpretations, and a method for computing a base of general concept inclusions the probabilities of which are greater than a pre-defined lower bound is proposed. Additionally, we consider so-called probabilistic attributes over probabilistic formal contexts, and provide a method for the axiomatization of implications over probabilistic attributes.

Details

Original languageEnglish
Pages (from-to)511-546
Number of pages36
JournalInternational journal of general systems
Volume2017
Issue number46(5)
Publication statusPublished - 8 Aug 2017
Peer-reviewedYes

External IDs

ORCID /0000-0003-0219-0330/work/153109398

Keywords