A granularity-based framework of deduction, induction, and abduction

DOI10.1016/J.IJAR.2009.06.002zbMath1191.68686OpenAlexW2043302707MaRDI QIDQ962933

Seiki Akama, Tetsuya Murai, Yasuo Kudo

Publication date: 7 April 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.2009.06.002

zbMATH Keywords

modal logicinductiondeductionabductionvariable precision rough sets

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (6)

Cost-sensitive feature selection of numeric data with measurement errors ⋮ On generalizing covering approximation space ⋮ Covering rough sets based on neighborhoods: an approach without using neighborhoods ⋮ Reasoning with doubly uncertain soft constraints ⋮ Ensemble-based neighborhood attribute reduction: a multigranularity view ⋮ A Review on Rough Sets and Possible World Semantics for Modal Logics

Cites Work

• Propositional knowledge base revision and minimal change
• Variable precision rough set model
• Rough sets. Mathematical foundations
• Rough sets
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