Measuring inconsistency through minimal proofs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Measuring the degree of inconsistency of a knowledge base provides important context information for making easier inconsistency handling. In this paper, we propose a new fine-grained measure to quantify the degree of inconsistency of propositional formulae. Our inconsistency measure uses in an original way the minimal proofs to characterize the responsibility of each formula in the global inconsistency. We give an extension of such measure to quantify the inconsistency of the whole base. Furthermore, we show that our measure satisfies the important properties characterizing an intuitive inconsistency measure. Finally, we address the problem of restoring consistency using an inconsistency measure.

Original languageEnglish
Title of host publicationSymbolic and Quantitative Approaches to Reasoning with Uncertainty - 12th European Conference, ECSQARU 2013, Proceedings
PublisherSpringer Verlag
Pages290-301
Number of pages12
ISBN (Print)9783642390906
DOIs
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013 - Utrecht, Netherlands
Duration: 8 Jul 201310 Jul 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7958 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference12th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, ECSQARU 2013
Country/TerritoryNetherlands
CityUtrecht
Period8/07/1310/07/13

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