Measuring and repairing inconsistency in knowledge bases with graded truth

DOI10.1016/j.fss.2011.10.012zbMath1251.68248OpenAlexW2086918787MaRDI QIDQ1759709

David Picado Muiño

Publication date: 21 November 2012

Published in: Fuzzy Sets and Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.fss.2011.10.012

zbMATH Keywords

fuzzy expert systemsŁukasiewicz semanticsgraded truthmeasures of inconsistencydegrees of truthCADIAG2

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37) Theory of languages and software systems (knowledge-based systems, expert systems, etc.) for artificial intelligence (68T35)

Related Items (2)

Analysing inconsistent information using distance-based measures ⋮ A measure of consistency for fuzzy logic theories

Cites Work

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• A probabilistic interpretation of the medical expert system CADIAG-2
• Measuring and repairing inconsistency in probabilistic knowledge bases
• On the (fuzzy) logical content of CADIAG-2
• Fuzzy logic and approximate reasoning
• Metamathematics of fuzzy logic
• Measuring inconsistency
• Distance semantics for database repair
• Inconsistency Tolerance
• Fuzzy sets
• A theorem about infinite-valued sentential logic

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