%0 Conference Paper
%A Nguyen, Van Tham
%A Tran, Trong Hieu
%B The 2017 International Conference on Knowledge and Systems Engineering (KSE)
%C Hue, Vietnam
%D 2017
%F SisLab:2889
%I IEEE
%T Inconsistency measures for probabilistic knowledge bases
%U https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2889/
%X 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.