Probabilistic Implication Bases in FCA and Probabilistic Bases of GCIs in ℰℒ
Research output: Contribution to journal › Research article › Contributed › peer-review
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 𝓔𝓛⊥ 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 language | English |
---|---|
Pages (from-to) | 511-546 |
Number of pages | 36 |
Journal | International journal of general systems |
Volume | 2017 |
Issue number | 46(5) |
Publication status | Published - 8 Aug 2017 |
Peer-reviewed | Yes |
External IDs
ORCID | /0000-0003-0219-0330/work/153109398 |
---|---|
Scopus | 85027164218 |