Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.3233/978-1-61499-419-0-1037 | Frontiers in Artificial Intelligence and Applications |
Field | DocType | Volume |
Prime (order theory),Computer science,Algorithm,Internal conflict,Canonical form,Theoretical computer science,Artificial intelligence,Knowledge base,Machine learning | Conference | 263 |
ISSN | Citations | PageRank |
0922-6389 | 8 | 0.59 |
References | Authors | |
4 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Saïd Jabbour | 1 | 175 | 12.44 |
| Yue Ma | 2 | 43 | 4.34 |
| Badran Raddaoui | 3 | 93 | 15.31 |
| Lakhdar Sais | 4 | 859 | 65.57 |