Measuring conflict and agreement between two prioritized knowledge bases in possibilistic logic

DOI10.1016/j.fss.2010.03.014zbMath1192.68675OpenAlexW2148330719MaRDI QIDQ983062

Weiru Liu, Guilin Qi, David. A. Bell

Publication date: 28 July 2010

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

Full work available at URL: https://doi.org/10.1016/j.fss.2010.03.014

zbMATH Keywords

automated reasoningpossibilistic logicconflict resolutioninformation measuresknowledge representation and reasoning

Mathematics Subject Classification ID

Knowledge representation (68T30) Reasoning under uncertainty in the context of artificial intelligence (68T37)

Related Items (2)

Comparing and Weakening Possibilistic Knowledge Bases ⋮ Using inconsistency measures for estimating reliability

Cites Work

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• Epistemic entrenchment and possibilistic logic
• Resolving contradictions: A plausible semantics for inconsistent systems
• Possibilistic merging and distance-based fusion of propositional information
• Measuring inconsistency
• Two information measures for inconsistent sets
• Combining multiple prioritized knowledge bases by negotiation
• An Algorithm for Computing Inconsistency Measurement by Paraconsistent Semantics
• Information Affinity: A New Similarity Measure for Possibilistic Uncertain Information
• Inconsistency Tolerance

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