Symbolic and Quantitative Approaches to Reasoning with Uncertainty

DOI10.1007/b138862zbMath1122.68666OpenAlexW3187471853MaRDI QIDQ5473730

Kedian Mu, Zhi Jin, Weiru Liu, Ru-qian Lu

Publication date: 23 June 2006

Published in: Lecture Notes in Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/b138862

Mathematics Subject Classification ID

Reasoning under uncertainty in the context of artificial intelligence (68T37) Mathematical aspects of software engineering (specification, verification, metrics, requirements, etc.) (68N30)

Related Items (12)

The degree of conflict between formulas in an inconsistent knowledge base ⋮ Analysing inconsistent first-order knowledgebases ⋮ Analysing inconsistent information using distance-based measures ⋮ On the measure of conflicts: Shapley inconsistency values ⋮ An Algorithm for Computing Inconsistency Measurement by Paraconsistent Semantics ⋮ A syntax-based approach to measuring the degree of inconsistency for belief bases ⋮ Computational approaches to finding and measuring inconsistency in arbitrary knowledge bases ⋮ A correspondence between belief function combination and knowledge base merging ⋮ Measuring Consistency Gain and Information Loss in Stepwise Inconsistency Resolution ⋮ A priority-based negotiations approach for handling inconsistencies in multi-perspective software requirements ⋮ General information spaces: measuring inconsistency, rationality postulates, and complexity ⋮ Approaches to measuring inconsistency for stratified knowledge bases

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