eprintid: 3300 rev_number: 9 eprint_status: archive userid: 307 dir: disk0/00/00/33/00 datestamp: 2018-12-17 03:01:57 lastmod: 2018-12-17 03:01:57 status_changed: 2018-12-17 03:01:57 type: conference_item metadata_visibility: show creators_name: Nguyen, Thi Hong Khanh creators_name: Ha, Quang Thuy creators_id: thuyhq@vnu.edu.vn corp_creators: VNU-University of Eng. and Tech corp_creators: Electric Power University title: A Learning Method based on Bisimulation in the Inconsistent Knowledge Systems ispublished: inpress 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 concept learning for an inconsistent knowledge base system based on bisimulation. This algorithm allows learning a concept from a training information system in a paraconsistent descriptive logic system with a set of positive items, negative items, and inconsistent items. Here, we present a system for learning concept in an inconsistent knowledge base and discuss preliminary experimental results obtained in the electronic application domain. date: 2018-11-19 date_type: published official_url: https://controls.papercept.net/conferences/conferences/ICARCV18/program/ICARCV18_ContentListWeb_1.html full_text_status: public pres_type: paper event_title: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV) event_location: Marina Bay Sands Expo and Convention Centre, Singapore event_dates: November 18-21, 201 event_type: conference refereed: FALSE citation: Nguyen, Thi Hong Khanh and Ha, Quang Thuy (2018) A Learning Method based on Bisimulation in the Inconsistent Knowledge Systems. In: 2018 15th International Conference on Control, Automation, Robotics and Vision (ICARCV), November 18-21, 201, Marina Bay Sands Expo and Convention Centre, Singapore. (In Press) document_url: https://eprints.uet.vnu.edu.vn/eprints/id/eprint/3300/1/ICARCV%202018%20Program%20_%20Monday%20November%2019%2C%202018.pdf