@inproceedings{SisLab3436,
       booktitle = {15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018},
           month = {November},
           title = {A Learning Method based on Bisimulation in Inconsistent Knowledge Systems},
          author = {Thi Hong Khanh Nguyen and Trong Hieu Tran and Quang Thuy Ha},
            year = {2018},
           pages = {430--435},
             url = {https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3436/},
        abstract = {Inconsistencies may naturally occur in the considered application domains in Arti?cial Intelligence, for example as a result of data mining works in distributed sources. In order to solve inconsistent knowledge, several paraconsistent description logics have been proposed. In this paper, we face the problem of learning concept for inconsistent knowledge base system based on bisimulation. This algorithm allows learning a concept from a training information system in paraconsistent descriptive logic system with a set of positive items, negative items and inconsistent items. Here, we present a system for learning concept in inconsistent knowledge base and discuss preliminary experimental results obtained in the electronic application domain.}
}