TY  - CONF
ID  - SisLab2889
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2889/
A1  - Nguyen, Van Tham
A1  - Tran, Trong Hieu
Y1  - 2017///
N2  - One of the major concerns in knowledge integration is inconsistencies in knowledge bases. An inconsistency measure is  a  tool  that  helps  analyzing  inconsistency  knowledge  bases and  resolving  inconsistencies.  In  recent  years,  a  wide  range  of measures with desirable properties have been proposed, however, these  measures  often  correspond  to  logical,  or  probabilistic-logical  framework.  In  this  paper,  we  investigate  several  inconsistency  measures  and  their  properties  for  the  knowledge  bases represented  by  probabilistic framework.
PB  - IEEE
TI  - Inconsistency measures for probabilistic knowledge bases
M2  - Hue, Vietnam
AV  - public
T2  - The 2017 International Conference on Knowledge and Systems Engineering (KSE)
ER  -