@inproceedings{SisLab2889,
       booktitle = {The 2017 International Conference on Knowledge and Systems Engineering (KSE)},
           title = {Inconsistency measures for probabilistic knowledge bases},
          author = {Van Tham Nguyen and Trong Hieu Tran},
       publisher = {IEEE},
            year = {2017},
         journal = {9th International Conference on Knowledge and Systems Engineering (KSE) 2017},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/2889/},
        abstract = {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.}
}