Granular computing applied to ontologies
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Publication:985134
DOI10.1016/j.ijar.2009.11.006zbMath1205.68394OpenAlexW1979288074WikidataQ114667548 ScholiaQ114667548MaRDI QIDQ985134
Silvia Calegari, Davide Ciucci
Publication date: 20 July 2010
Published in: International Journal of Approximate Reasoning (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ijar.2009.11.006
Logic in artificial intelligence (68T27) Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)
Related Items (10)
Cost-sensitive feature selection of numeric data with measurement errors ⋮ On generalizing covering approximation space ⋮ Generalization of Pawlak's rough approximation spaces by using \(\delta \beta \)-open sets ⋮ The dynamic update method of attribute-induced three-way granular concept in formal contexts ⋮ Matroidal structure of rough sets based on serial and transitive relations ⋮ Formal concept analysis based on fuzzy granularity base for different granulations ⋮ Covering rough sets based on neighborhoods: an approach without using neighborhoods ⋮ Reasoning with doubly uncertain soft constraints ⋮ Relationships among generalized rough sets in six coverings and pure reflexive neighborhood system ⋮ Bitopological approximation space with application to data reduction in multi-valued information systems
Uses Software
Cites Work
- Is there a need for fuzzy logic?
- Fuzzy description logics under Gödel semantics
- Reasoning with rough description logics: An approximate concepts approach
- Information systems theoretical foundations
- Tutorial on ontological engineering. III: Advanced course of ontological engineering
- Expressive probabilistic description logics
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