Tatyana Ivanova Ivanova
Technical College of Sofia, Technical University of Sofia
Bulgaria
e-mail: t.ivanova@tu-sofia.bg
Abstract:
Ontologies are powerful and expressive mechanism for knowledge representation to support artificial intelligence applications. In many practical domains it is natural to use vague, probabilistic or imprecise knowledge. In this research we will discuss approaches for combining crisp, probabilistic and vague theories for modelling and automated reasoning with knowledge in practical domains. We also propose a methodology for mixed modelling of crisp and fuzzy or probabilistic knowledge by ontologies.
Key words:
fuzzy ontology
imprecise knowledge
methodology
ontology
Section:
The full text of the report is included in IEEE InfoTech-2024 eProceedings
and will be available on the IEEE Xplorer DL website
https://ieeexplore.ieee.org/xpl/conhome/1828024/all-proceedings
and will be available on the IEEE Xplorer DL website
https://ieeexplore.ieee.org/xpl/conhome/1828024/all-proceedings