@inproceedings{df1f416d20de4aac8d386c652d9ea3fd,
title = "Prime implicates based inconsistency characterization",
abstract = "Measuring inconsistency is recognized as an important issue for handling inconsistencies [5, 6]. Based on prime implicates canonical representation, we first characterize the conflicting variables allowing us to refine an existing inconsistency measure. Secondly, we propose a new measure, to circumscribe the internal conflicts in a knowledge base. This measure is proved to satisfy a new but weaker form of dominance.",
author = "Said Jabbour and Yue Ma and Badran Raddaoui and Lakhdar Sais",
note = "Publisher Copyright: {\textcopyright} 2014 The Authors and IOS Press.; 21st European Conference on Artificial Intelligence, ECAI 2014 ; Conference date: 18-08-2014 Through 22-08-2014",
year = "2014",
month = jan,
day = "1",
doi = "10.3233/978-1-61499-419-0-1037",
language = "English",
series = "Frontiers in Artificial Intelligence and Applications",
publisher = "IOS Press BV",
pages = "1037--1038",
editor = "Torsten Schaub and Gerhard Friedrich and Barry O'Sullivan",
booktitle = "ECAI 2014 - 21st European Conference on Artificial Intelligence, Including Prestigious Applications of Intelligent Systems, PAIS 2014, Proceedings",
}