eprintid: 3436
rev_number: 8
eprint_status: archive
userid: 394
dir: disk0/00/00/34/36
datestamp: 2019-06-03 03:54:47
lastmod: 2019-06-03 03:54:47
status_changed: 2019-06-03 03:54:47
type: conference_item
metadata_visibility: show
creators_name: Nguyen, Thi Hong Khanh
creators_name: Tran, Trong Hieu
creators_name: Ha, Quang Thuy
creators_id: hieutt@vnu.edu.vn
creators_id: thuyhq@vnu.edu.vn
title: A Learning Method based on Bisimulation in Inconsistent Knowledge Systems
ispublished: pub
subjects: IT
divisions: fac_fit
abstract: Inconsistencies may naturally occur in the considered application domains in Artificial 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.
date: 2018-11
date_type: published
full_text_status: none
pres_type: paper
pagerange: 430-435
event_title: 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018
event_location: Singapore
event_dates: 18-21 November 2018
event_type: conference
refereed: TRUE
citation:   Nguyen, Thi Hong Khanh and Tran, Trong Hieu and Ha, Quang Thuy  (2018) A Learning Method based on Bisimulation in Inconsistent Knowledge Systems.  In: 15th International Conference on Control, Automation, Robotics and Vision, ICARCV 2018, 18-21 November 2018, Singapore.