<div class="csl-bib-body">
<div class="csl-entry">Thimm, M., & Wallner, J. (2019). On the complexity of inconsistency measurement. <i>Artificial Intelligence</i>, <i>275</i>, 411–456. https://doi.org/10.34726/1801</div>
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dc.identifier.issn
0004-3702
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dc.identifier.uri
http://hdl.handle.net/20.500.12708/18864
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dc.identifier.uri
https://doi.org/10.34726/1801
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dc.description.abstract
We survey a selection of inconsistency measures from the literature and investigate their computational complexity wrt. decision problems related to bounds on the inconsistency value and the functional problem of determining the actual value. Our findings show that those inconsistency measures can be partitioned into four classes related to their complexity. The first three classes contain measures whose complexities are located on the first three levels of the polynomial hierarchy, respectively. The final class is under standard complexity-theoretic assumptions located beyond the polynomial hierarchy. We provide membership results for all the investigated problems and completeness results for most of them. In addition, we undertake a preliminary study on the computational complexity of the measures on fragments of propositional logic.
en
dc.language.iso
en
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dc.publisher
ELSEVIER
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dc.relation.ispartof
Artificial Intelligence
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dc.rights.uri
http://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.subject
Inconsistency measurement
en
dc.subject
Computational Complexity
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dc.title
On the complexity of inconsistency measurement
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dc.type
Article
en
dc.type
Artikel
de
dc.rights.license
Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International
en
dc.rights.license
Creative Commons Namensnennung - Nicht kommerziell - Keine Bearbeitungen 4.0 International