TY  - CONF
ID  - SisLab3436
UR  - https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3436/
A1  - Nguyen, Thi Hong Khanh
A1  - Tran, Trong Hieu
A1  - Ha, Quang Thuy
Y1  - 2018/11//
N2  - 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.
TI  - A Learning Method based on Bisimulation in Inconsistent Knowledge Systems
SP  - 430
M2  - Singapore
AV  - none
EP  - 435
T2  - 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
ER  -